Jobs AI

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   
  Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

We're Rist Labs — a cofounding studio building ethical, AI-powered B2C products that matter. We partner with sharp founders and top talent to launch ventures that move fast, scale globally, and make a real difference.

• Availability of at least 5 hours per day

• 1–2 years of experience in active dynamic video editing (Reels, TikTok, ad creatives)

• At least 6 months of hands-on experience with Generative AI tools

• Proven ability to generate hyper-realistic AI avatars indistinguishable from real humans

• You can take a raw script with zero moodboard and deliver a polished pack by 6 PM without hand-holding

• You know how to source native, non-stock footage across TikTok, Instagram, and Threads

• English B1+

• Have a background in performance marketing teams or digital agencies

• Understand basic marketing principles — hook frames, pacing for ads, what makes people stop scrolling

• Producing packs of ad video creatives based on briefs from Creative Marketing Managers — up to 2 packs per day (3 videos per pack + variations)

• Generating hyper-realistic AI avatars and integrating them seamlessly into creatives (indistinguishable from real UGC)

• Independently sourcing visual references and trending content across social platforms

• Monitoring TikTok and Instagram trends and turning them into creatives fast

• Optimizing your own workflow through tools, plugins, and automations — because speed without quality doesn't count

• Remote, flexible part-time format (~5 hours/day).

• Freedom to build. No micromanagement. No politics. No fluff.

• Top-tier team. You'll work with proven operators, product thinkers, and creatives.

• Not one path. Yours. We support all kinds of growth: leadership, depth, and breadth, allowing you to choose how far and where to go.

• Our pay is competitive, based on your personal skills and achievements. We want you to feel valued, and paid like it.

• Portfolio review.

• Meet with recruiter.

• Test assignment.

• Interview with the Team.

• Offer.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

We're looking for a mature, Senior / Lead PHP Engineer with deep Laravel expertise and hands-on experience building or integrating agentic AI systems. Over a 6-month engagement, you will help the team build the next major product release, taking ownership of complex backend features end-to-end, mentoring other engineers, and helping shape how AI-driven automation and agents fit into the product and internal workflows.

You will join the cross-functional product team, working full time in the EDT (Toronto) time zone alongside engineers who value clear communication, independent judgment on ambiguous problems, and production-ready engineering.
 

Responsibilities:

• Design, build, and maintain robust backend services and APIs using PHP and Laravel to deliver the next major product release.
• Own features from technical design through deployment and monitoring.
• Integrate and orchestrate agentic AI workflows (e.g., LLM-based agents, tool-calling pipelines, autonomous task runners) into existing products and internal tooling.
• Improve system performance, reliability, and security across the stack.
• Mentor other engineers and partner with colleagues across functions to move technical topics forward.
• Stay current with the PHP/Laravel ecosystem and emerging agentic AI tools and patterns.

Requirements:

• 6+ years of professional PHP development experience, including 4+ years building applications with Laravel (or comparable modern PHP framework experience with strong Laravel proficiency).
• Hands-on GenAI experience — you've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
• Modern AI coding tools (e.g., Claude Code, Codex) are part of how you work day to day.
• Solid database skills (MySQL/PostgreSQL), including query optimization and schema design.
• Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or similar).
• Solid engineering fundamentals: testing, debugging, code quality, and getting things production-ready.
• Strong communication and collaboration skills, with the judgment to work independently on ambiguous problems.
• English level: Upper-Intermediate or higher. 

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Smart Capital Center is an AI-powered platform transforming Commercial Real Estate (CRE) investment and financial management. Our platform combines real-time market data, financial modeling, workflow automation, and Generative AI to power underwriting, asset management, and portfolio analytics.

Operating at the intersection of AI, finance, and commercial real estate, we are building software that replaces manual, spreadsheet-driven workflows with intelligent, scalable systems.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance engineering organization solving complex problems in a $17 trillion industry.

Learn more at www.smartcapitalcenter.com

The Role

We are looking for an Engineering Manager who combines strong technical leadership with exceptional people management and execution.

This is a hands-on leadership role. While your primary responsibility is building and leading a high-performing engineering team, you will remain deeply involved in technical direction, architecture, AI adoption, and engineering excellence.

You will partner closely with Product, Design, Data, AI, and executive leadership to translate business objectives into scalable technical solutions while fostering an engineering culture centered on ownership, innovation, continuous improvement, and rapid execution.

As an engineering leader, you will help shape not only what we build, but how we build it—leveraging AI to improve both our products and our engineering processes.

What You'll Do

Engineering Leadership

• Lead, mentor, and grow a team of high-performing software engineers.
• Build a culture of ownership, accountability, technical excellence, and continuous learning.
• Recruit, hire, and retain exceptional engineering talent.
• Coach engineers through regular one-on-ones, performance feedback, and career development.
• Foster psychological safety while maintaining high performance standards.
• Develop future technical leaders within the organization.

Technical Leadership

• Drive technical direction alongside senior engineers and architects.
• Review system architecture and technical designs.
• Guide architectural decisions that improve scalability, reliability, maintainability, and security.
• Balance long-term platform evolution with near-term product delivery.
• Establish engineering standards, coding practices, testing strategies, and documentation expectations.
• Drive continuous improvement across engineering processes and developer experience.

AI Engineering Leadership

• Partner with AI engineers to build and operate AI-powered product capabilities.
• Establish best practices for integrating Large Language Models (LLMs) into production systems.
• Promote responsible AI engineering, including evaluation, monitoring, security, and governance.
• Drive adoption of AI-assisted software development tools to improve engineering productivity.
• Evaluate emerging AI technologies and recommend practical adoption where they create measurable business value.
• Help engineers effectively leverage modern AI development tools including GitHub Copilot, Cursor, Claude Code, and similar platforms.

Delivery & Execution

• Own engineering execution across multiple initiatives and product domains.
• Partner with Product Managers to define roadmaps, priorities, estimates, and delivery plans.
• Remove blockers and enable teams to execute efficiently.
• Drive predictable software delivery without compromising engineering quality.
• Continuously improve planning, estimation, release management, and Agile execution.
• Ensure successful delivery of customer-facing features and internal platform improvements.

Platform & Operational Excellence

• Drive improvements in platform reliability, scalability, observability, and operational excellence.
• Improve CI/CD pipelines, automated testing, deployment processes, and developer productivity.
• Establish engineering metrics including deployment frequency, lead time, reliability, defect rates, and operational health.
• Promote ownership of production systems and operational excellence.
• Support incident response, root cause analysis, and continuous improvement initiatives.

Cross-Functional Collaboration

• Partner closely with Product, UX, AI, Data, and Customer Success teams.
• Communicate technical strategy and project status to stakeholders.
• Align engineering priorities with company objectives.
• Participate actively in product planning and strategic decision making.

Requirements

Leadership

• Significant experience building and delivering production software.
• Experience leading software engineering teams in fast-moving environments.
• Proven success hiring, mentoring, and developing engineers.
• Strong coaching, communication, and organizational skills.
• Demonstrated ability to build high-performing engineering teams.
• Ability to influence across technical and business organizations.

Technical Background

• Strong experience building and shipping modern full-stack applications.
• Expertise with modern frontend technologies including React, TypeScript, and JavaScript.
• Strong backend experience using Java/Spring Boot and/or Python.
• Experience designing scalable APIs and distributed systems.
• Strong understanding of relational databases (PostgreSQL preferred).
• Experience building cloud-native applications on AWS or similar cloud platforms.
• Solid understanding of software architecture, security, scalability, and system reliability.

AI & Modern Engineering

• Experience building, integrating, or operating AI-powered applications.
• Understanding of LLMs, prompt engineering, structured outputs, tool/function calling, and Retrieval-Augmented Generation (RAG).
• Familiarity with vector databases, embeddings, semantic search, or AI orchestration frameworks is a plus.
• Experience using AI-assisted software development tools to improve engineering productivity.
• Ability to evaluate emerging AI technologies and drive practical adoption across engineering teams.
• Understanding of AI security, governance, and responsible AI practices.

Engineering Management

• Experience leading Agile software development.
• Strong understanding of modern software delivery practices.
• Experience balancing engineering quality with delivery speed.
• Ability to manage multiple priorities in a fast-paced environment.
• Data-driven approach to planning, execution, and continuous improvement.
• Experience defining and tracking engineering performance metrics.

Core Competencies

• Technical leadership
• Strategic thinking
• Ownership mindset
• Strong execution
• Excellent communication
• Coaching and mentoring
• Systems thinking
• Pragmatic decision making
• Continuous improvement
• Customer-focused problem solving

Nice to Have

• Commercial Real Estate (CRE), financial systems, or analytics platform experience.
• Experience with event-driven or microservice architectures.
• Experience with Kubernetes, Docker, Terraform, or Infrastructure as Code.
• Experience with observability platforms such as Datadog, Grafana, Prometheus, or OpenTelemetry.
• Experience with high-volume data processing and distributed systems.
• Experience scaling engineering teams in startup or high-growth environments.

Why Join Smart Capital Center

• Lead engineering for an AI-native platform transforming Commercial Real Estate.
• Shape engineering culture, architecture, and technical strategy.
• Build products used by leading financial institutions.
• Work directly with founders and executive leadership.
• Solve complex challenges across AI, financial modeling, and large-scale data.
• Build an engineering organization where AI accelerates both product innovation and developer productivity.
• Operate with high ownership, rapid decision-making, and minimal bureaucracy.

This is a high-autonomy embedded delivery role where you orchestrate the intelligent agent systems you design yourself — owning the full loop from requirements to release, solo, on real client engagements.

A new team member will be in charge of:

• Own requirements shaping directly with the client, covering BA, PO, and UX work yourself.
• Design and write the project’s own AI agents and skills (Codex, Claude Code or comparable), not just prompt off-the-shelf tools.
• Choose and combine agents, skills, and models to fit the project’s business and technical goals, and keep evolving that setup as the project changes.
• Own the full SDLC and ship working software through that agent setup.
• Unblock large, messy backlogs fast.
• Make scope and trade-off calls that balance release dates against technical decisions, without waiting for an architect or PO.
• Represent the company’s AI delivery capability to the client, including under scrutiny.
• Stay ahead on new agentic tools and practices, and bring them back to the company.

Does this relate to you?

• 5+ years in software engineering or delivery, with ongoing client-facing responsibility.
• 1+ years of hands-on experience building custom agents and skills for real delivery work, with concrete examples of an agent setup you designed and what it shipped.
• A proven ability to cut scope to hit a release, and to explain why.
• Solid engineering fundamentals, enough to make and defend technical calls live and alone.
• A track record of delivering against hard deadlines with incomplete inputs.

Nice to have:

• A prior FDE or embedded-consultant role.
• An architecture background.
• Healthcare, fintech, or manufacturing domain experience.

Ready to try your hand? Send your CV without a doubt!

About the role 

We're looking for a Senior Data Architect to join a long-term engagement with an enterprise client. You'll take ownership of an existing, complex Azure data platform and quickly assess, stabilise and modernise it. You'll also design the data layer behind GenAI, RAG and Agentic AI applications. 

This is not a hands-on LLM or AI-agent development role. What matters is that you have designed, in production, how enterprise data and knowledge is ingested, prepared, stored, governed and made available for retrieval and AI consumption. 

What you'll do 

• Own the architecture of an existing Azure data platform: assess it fast, separate tactical fixes from long-term target architecture, and move both forward in parallel. 
• Deliver implementation-ready architecture: detailed documentation, diagrams and recommendations that engineering teams can act on. You'll be expected to show meaningful output within the first 1–2 weeks. 
• Design the data and knowledge layer for RAG and Agentic AI applications: document processing, OCR and text extraction, metadata, chunking, embeddings, and vector search and retrieval. 
• Design scalable, metadata- and configuration-driven ingestion for many databases, APIs and file-based sources. 
• Work with structured and genuinely unstructured data (PDFs, scans, images, emails, free text). 
• Make technology-neutral decisions about when Synapse, Databricks, ADF, Azure SQL or a Lakehouse are justified, and when they only add complexity. 
• Improve performance, scalability, maintainability and data quality, including batch, incremental processing and incremental refresh. 

Must-have 

• Strong, recent experience as an enterprise Azure Data Architect, with clear architecture ownership. 
• At least one real production project (not a POC) where you designed or owned the data architecture behind a RAG, GenAI or Agentic AI application. 
• Azure Cosmos DB, in depth (essential): data modelling, partition-key strategy, indexing, RU/throughput and cost optimisation, scaling, consistency, Change Feed, and knowing when Cosmos DB is the right choice and when it isn't. 
• Azure Synapse Analytics, current and in depth: Pipelines, Spark, Serverless SQL, Dedicated SQL Pools, and how Synapse compares with Azure SQL, ADF, ADLS, Databricks and Fabric. 
• Azure Databricks, Azure SQL MI / SQL Server / T-SQL, Azure Data Lake / Lakehouse architecture, and Azure Functions. 
• Strong data modelling: fact and dimension tables, star schemas, and optimising analytical models. 
• Proven experience taking over a problematic legacy data platform and modernising it. 
• Ability to work independently with incomplete information and turn analysis into concrete deliverables quickly. 
• Fluent English (C1 preferred) and strong communication with both technical teams and business stakeholders. 

What we offer 

• A 12-month full-time contract with a long-term perspective 
• A high-impact architecture role at the intersection of enterprise data platforms and GenAI 
• Fully remote work 
• A short hiring process: an intro call and a 1-hour technical interview 

How to apply 

Please send a CV tailored to this role. The client screens CVs strictly and won't review a generic CV or a list of keywords. For each relevant project, please include: 

• start and end dates, context, and your personal role and decisions 
• the Azure services you used (Cosmos DB, Synapse, Databricks and so on) and how you used them 
• for your RAG/GenAI project: what the application did, what you personally owned, how the data was prepared for retrieval, which storage and vector-search technologies you used, whether Cosmos DB was part of it, and whether it was in production 

Please also include: 

• your expected hourly rate (USD) 
• your English level 
• years of experience 
• your country of residence and your citizenship 
• your availability date 

Shortlisted candidates will be asked to complete a skills matrix. 

estaie is the AI-native extended-stay platform for 15 to 365-night stays. We connect hotels, holiday homes, channel managers, PMSs, payment providers and other travel systems through intelligent inventory, pricing, search and distribution infrastructure. We operate globally, with hubs in Dubai and Riyadh. Our AI layer powers dynamic pricing, agentic lead generation, smart inventory orchestration and autonomous operations for operators, corporate bookers and digital nomads alike.

Location: Remote-first (MENA time zone alignment required: at least 8 hours per day overlapping with Gulf Standard Time, UTC+4)
Reports to: Nimit Solanki, CTO & Co-founder
Leads: Forward Deployed Engineers (Integrations)
Type: Full-time
Shape of the role: roughly 50% people and delivery leadership, 50% hands-on engineering

THE ROLE

You will build and lead our Forward Deployed Engineering team: the engineers who connect estaie to the hospitality ecosystem and make those integrations work in production. You own how the team works, what it ships, and the quality bar it holds.

You are also one of the team's strongest engineers. You take real integration and AI work yourself, review PRs, debug production issues alongside your team, and lead by example rather than from a dashboard. You partner directly with the CTO on architecture and technical strategy, and with product, sales and partnerships on what gets built and when.

WHAT YOU'LL DO

Lead the FDE team

• Hire, onboard and grow a remote team of Forward Deployed Engineers, and set clear expectations on ownership, quality and pace.
• Run delivery across many partner integrations at once: prioritise, unblock, and keep commitments to partners realistic.
• Coach engineers on integration design, debugging across systems, clean code and working directly with partners.
• Run 1:1s, give direct feedback, and build a culture of accountability, async collaboration and written decisions.

Stay hands-on

• Write production code in TypeScript, Python and SQL, and own some integrations end to end yourself.
• Review PRs and set the engineering standard for testing, observability and documentation.
• Join the hardest partner debugging sessions and production incidents, and lead the post-mortems.

Own the integration platform

• Design the patterns every integration follows: authentication (including OAuth 2.0 token refresh), signed webhooks, retries with backoff, rate limiting, idempotency and error handling.
• Own the canonical data model that normalises inventory, rates and availability from partners with different schemas.
• Make sure we never oversell: concurrency control on inventory, handling of out-of-order and late events, and reconciliation jobs that catch drift with external systems.
• Build the shared tooling that makes each new integration faster than the last: mock partner servers, contract tests, onboarding tools, dead-letter queues with replay.

Bring AI into production safely

• Lead the use of LLMs and agents across integration workflows, such as mapping messy partner data, operational copilots and automation.
• Set the guardrails: structured output with schema validation, human review for low-confidence results, eval sets as CI gates, and least-privilege tool access for agents.
• Keep AI cost and latency under control with queues, rate limiters, caching and model routing.

Reliability and partners

• Own uptime, security and performance of the integration layer across regions and environments.
• Act as the senior technical contact for key partners, channel managers, PMSs and payment providers.
• Feed what you learn in the field back into product and platform priorities.

TECH STACK

• Frontend: Next.js, React, TypeScript, TailwindCSS; Laravel and Vue.js on parts of the core platform
• Backend: Node.js / NestJS, Python (FastAPI) for AI and data services, REST APIs and webhooks
• Data: PostgreSQL (with pgvector), MySQL, Redis, BigQuery, Datastream
• Async and events: BullMQ, Pub/Sub, Kafka / Redpanda
• AI: Vertex AI (Gemini, Claude), LangChain, embeddings and vector search, agentic workflows
• Infrastructure: GCP (Cloud Run, Cloud Build, IAM, Secret Manager), Docker, Terraform, GitHub Actions
• Security and edge: Cloudflare (WAF, Zero Trust), OAuth 2.0, JWT
• Observability: Cloud Logging, Prometheus, Grafana, alerting and anomaly detection
• Integrations: Channel managers, PMSs, OTAs and supplier APIs; payment gateways such as Stripe, Tamara and Checkout.com; WhatsApp Business API and Twilio

WHAT YOU BRING

• 8 to 12 years of software engineering experience, including 3+ years leading engineers in a high-growth startup, SaaS or platform company.
• You still code. Strong, current hands-on skills in TypeScript (Node.js / NestJS, React / Next.js), SQL and PostgreSQL, plus working Python.
• A track record of building and running third-party integrations in production: webhooks with signature checks, idempotency, retries, rate limits, and data sync or reconciliation.
• Solid grounding in distributed systems: transactions and concurrency, queues and event-driven design, out-of-order events, and fault tolerance.
• Production experience with LLMs, including how to evaluate them, constrain them and keep their costs in check.
• Cloud deployment experience with Docker and CI/CD, ideally on GCP.
• Experience leading a remote, distributed team with an async, written culture.
• Professional-level English: you can run a technical call with an external engineering team and turn it into a plan, and write clear documentation, PR reviews and post-mortems.
• Bias for action. You debug, document, automate and measure, and you care about products that work, not just systems that run.

NICE TO HAVE

• Hospitality, hotels, holiday homes, travel-tech, fintech, marketplace or other integration-heavy background is an absolute plus and will be weighted heavily.
• Hands-on experience with channel managers, PMSs, OTAs, reservation systems or payment gateways.
• Experience building or leading a forward deployed, solutions or integrations engineering team.
• Kafka / Redpanda, OpenSearch / Elasticsearch, pgvector, Terraform.
• Experience in the GCC markets, and Arabic language skills.

YOUR FIRST 90 DAYS

• First 30 days: learn the platform and our live integrations, ship your first production change, and meet our key partners.
• By 60 days: own at least one integration end to end, and agree the shared integration standards (auth, webhooks, idempotency, testing) with the team.
• By 90 days: have the FDE hiring plan running, a delivery rhythm the team and partners trust, and clear reliability metrics for the integration layer.

WHY JOIN ESTAIE

• Build and shape a new team from the start, at the frontier of AI-native hospitality.
• Work directly with a founding team from Careem, Grab and Deutsche Telekom who value clarity, velocity and ownership.
• Real-world complexity: partners and systems across the global hospitality ecosystem, with your work reaching production fast.
• Flat, product-driven culture with strong engineering autonomy and end-to-end ownership.
• Competitive compensation and founding-team ESOP potential.
• Remote-first, or hybrid from our hubs in Dubai and Riyadh.

COMPENSATION NOTE

The total compensation for this role is capped at a maximum of USD 2,000 per month (gross, all-inclusive). This ceiling is firm, so please apply only if it is acceptable to you. Payment is made in USD or another international currency.

About the role

We're changing how products get built. Our designers now create interfaces directly in code with Claude Design and Claude Code, so design and frontend arrive together. We need a senior engineer who takes it from there: sets the project up properly, builds the backend, secures it, and ships it to production.

This is a full-stack role with no bias toward frontend or backend. You'll work on fixed-price MVPs delivered turnkey and deploy-ready, on growth retainers after launch, and on modernizing existing client products to the new AI-native approach.

Our projects span FinTech, Web3, marketplaces, SaaS platforms, and data-heavy admin systems. Experience in these domains is a plus, not a core requirement.

You'll be the technical owner across our projects: choosing the stack, setting standards, reviewing code, and helping designers solve technical problems. The role has a clear growth path toward Team Lead.

What you'll do

• Set up projects correctly from day one: repository structure, design system and typography integration, environments, CI/CD
• Take designer-built interfaces to production: refine the code, connect data, make it stable and maintainable
• Build MVP backends on Supabase: database schema, authentication, roles and permissions, row-level security, storage, edge functions
• Own security: make sure users never see each other's data, review access rules, catch unsafe patterns in AI-generated code
• Integrate payments and third-party services; deploy and maintain production environments
• Choose and justify the stack for each project and explain the choice to the client
• Work with existing client codebases during redesign and modernization projects
• Set up AI-driven testing: autotest logic, coverage of key flows, a QA process designers and external QA can follow
• Review code, define engineering standards, and support designers working in code
• Estimate projects accurately and take part in scoping and presales
• Coordinate with partner backend teams on heavy, complex products

What we're looking for

• 4+ years of commercial development across both frontend and backend
• Strong React and TypeScript (Next.js is a plus, not required)
• Solid backend experience: Node.js or another server language, relational databases (PostgreSQL), API design
• Hands-on Supabase or Firebase experience: auth, row-level security, access control
• Experience deploying and running products in production (Vercel, cloud providers, CI/CD)
• Payment integrations or work with financial data
• A portfolio of small to medium products you built end to end, with the ability to explain why each technology was chosen
• Experience with more than one stack, so you can pick the right tool rather than default to one
• Security mindset: authorization, data isolation, secrets management
• Testing culture: unit and E2E (Jest, Playwright / Cypress), including tests written by AI
• Experience working with existing codebases, refactoring, and migrations

AI-native development is the core of the role

• We build with AI every day, so we need real hands-on experience, not familiarity.
• Daily work with Claude Code, Cursor, Codex, or similar agentic tools
• Preparing context for agents: CLAUDE.md / cursor rules, MCP integrations, task decomposition
• Critical review of AI-generated code: hallucinations, unsafe patterns, unnecessary abstractions
• Understanding where AI saves time and where it creates technical debt
• Ability to build an AI-driven workflow for the team, including designers who code
• Ability to explain to a client how AI-native development affects timelines and cost

In the interview we'll ask you to walk us through a real case: a product you built with an agent, how you set up the process, and what went wrong.

Communication

• English B2+, confident in a one-hour client call without an interpreter
• Comfortable talking to CTOs, founders, and C-level: structured, focused on business impact
• Able to explain technical risks, trade-offs, and stack choices in business terms
• Able to say "no" to a poor idea or unrealistic scope respectfully and on time

• Clear written updates and documentation

   

Growth to Team Lead

As you grow into the Lead role, you'll join client calls with CTOs, founders, and C-level stakeholders. We need someone who can explain a technical decision through its business impact, give a reasoned "no" to a poor idea, and keep the relationship intact. If you're a strong engineer but client communication feels like a burden, this role isn't for you, and that's fine.

Your responsibilities will gradually include:

• Direct client communication and calls with CTOs and founders
• Presenting and defending architecture, stack choices, scope, and estimates
• Translating business requirements into technical solutions and explaining risks in business language
• Mentoring and onboarding developers and designers who work in code
• Establishing engineering standards and code review guidelines
• Technical coordination between our team, partner teams, and the client's engineers
• Technical interviews and candidate evaluation

• Project estimation and presale support

   

Nice to have

• Product thinking: you care about what the MVP is for, not only how it's built
• Experience with Lovable, v0, Figma Make, or similar AI builders, and knowing their limits
• Python, Go, or PHP backend experience
• Analytics and A/B testing setup for live products
• Web3: WalletConnect, ethers.js / viem
• Previous Tech Lead experience
• Presale and project estimation experience

Meet the YozmaTech

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.

Our client is the recognized leader in omnichannel ad serving, creative automation, and dynamic personalization, powered by our Agentic AI orchestration platform, Flight Control. Them technology helps advertisers, & agencies to scale with speed, intelligence, and automation across creative versioning, activation, ad serving and performance insights.

We are looking for someone who:
🔹 Uses advanced AI coding tools and agents as an integral part of the software development lifecycle.
🔹 Knows how to use AI effectively for coding, debugging, testing, code exploration, refactoring, documentation, and technical research.
🔹 Can design effective workflows around AI rather than relying on simple prompting.
🔹 Can identify engineering tasks and processes that can be automated or significantly accelerated with AI.
🔹 Understands both the capabilities and limitations of AI-generated code and applies strong engineering judgment when reviewing and deploying it.
🔹 Bonus: has built internal AI tools, agents, automation workflows, or AI-powered product capabilities.

Key Requirements:
🔹 8+ years of professional software development experience, primarily in backend development;
🔹 Strong experience designing and building production-grade services and APIs;
🔹 Hands-on experience with Docker and container orchestration; working knowledge of Kubernetes (EKS) and Helm;
🔹 Strong software engineering fundamentals, including system design, data structures, clean code, and scalable architecture;
🔹 Strong experience working with C# / .NET ( 5-8 years of professional experience)
🔹 2+ years of hands-on experience with frontend development using React and TypeScript.
🔹 Strong experience with SQL and relational databases, preferably MySQL;
🔹 Experience working with AWS or other cloud platforms;
🔹 Experience with distributed systems, high-scale environments, and production troubleshooting;
🔹 Experience integrating with complex external APIs and third-party platforms;
🔹 Strong ownership mindset — comfortable taking a problem from initial definition through production;
🔹 Strong communication and collaboration skills;
🔹 Ability to independently explore unfamiliar domains and technologies and quickly turn them into working solutions;
🔹 English – Upper-Intermediate or higher.

What you will do:
🔹 Design, develop, and own scalable backend services and APIs supporting our social advertising capabilities;
🔹 Build and maintain integrations with leading social platforms such as Meta, TikTok, YouTube, and other advertising ecosystems;
🔹 Take end-to-end ownership of features — from technical design and implementation through production rollout, monitoring, and optimization;
🔹 Work with complex third-party APIs, authentication flows, data models, platform limitations, and constantly evolving external integrations;
🔹 Build reliable, high-scale distributed services operating in a cloud production environment;
🔹 Develop a deep understanding of the product and business use cases, and contribute to product and technical decisions — not only implementation;
🔹 Identify opportunities to simplify systems, automate processes, and improve engineering velocity;

Interview stages:
🔹 HR Interview YozmaTech;
🔹 Technical Interview - 1h;
🔹 Live Coding Session - 3h;
🔹 Interview with CTO - 1 h;
🔹 HR Interview - 45 min;
🔹 Reference Check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.


From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

PwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.

What do we guarantee?

• Work format: Remote or in a comfortable office in Lviv - you choose.
• Development: Personal development plan, mentoring, English and Polish language courses.
• Stability: Official employment from day one, annual review of salary and career prospects.
• Corporate culture: Events that unite the team and a space where everyone can be themselves.

 
PwC is looking for a skilled Full-Stack Developer proficient in Python and JavaScript to build and maintain web-based solutions. You’ll work across the stack to support digital initiatives, from UI development to backend services and database design.

Key Responsibilities:

• Develop responsive, accessible UIs using HTML5, CSS3, and React or Angular;
• Build and maintain APIs and backend services with FastAPI, Django, or Flask;
• Design and manage databases (PostgreSQL, MongoDB);
• Ensure performance, security, and scalability across the stack;
• Collaborate with cross-functional teams to deliver high-quality solutions;
• Participate in code reviews and CI/CD workflows;
• Stay current with modern frameworks and best practices.

Required Skills:

• Strong experience with Python and JavaScript frameworks;
• Solid front-end skills (HTML5, CSS3, modern JS);
• Proficiency in RESTful API design and database management;
• Familiarity with Git, CI/CD, and secure coding practices;
• Strong problem-solving and communication skills.

 
Preferred:

• Experience in agile environments;
• Knowledge of Azure or AWS;
• Familiarity with Docker, Kubernetes, or GitOps;
• Exposure to AI or data-driven systems.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

We are looking for a hands-on, remote Senior Product Manager to lead the delivery of digital experience projects, including web applications, site improvements, replatforming, and ongoing site maintenance. You’ll work closely with clients, Engineering, Design, and Customer Success teams to translate business goals into product requirements and ensure successful, on-time delivery.

Working Hours: This role requires working in the EST time zone, which means an evening shift.

Responsibilities:

• Lead fast-paced Agile delivery with Engineering and Design teams.
• Partner with clients and external stakeholders to deliver digital transformation projects.
• Manage complex projects, scope, timelines, budgets, and priorities.
• Collaborate with Engineering on estimation, scope breakdown, and delivery planning.
• Balance strategic goals with detailed product requirements.
• Take ownership of quality, issues, and client challenges from discovery to resolution.
• Facilitate technical discussions and challenge solutions when needed.
• Continuously improve product and delivery processes.

Requirements:

• 5+ years of experience as a Project, Product, or Program Manager in Agile software development, managing large or complex projects.
• Agile/Scrum certification is required.
• Strong knowledge of Agile, Scrum, Kanban, and Jira.
• Experience with E-commerce businesses, platforms, and technology.
• Experience across the full software development lifecycle, from discovery to post-launch.
• Proven experience in client-facing digital product delivery, including requirements gathering, backlog management, and user stories.
• Experience working with Engineering on estimation, resource planning, and timelines.
• Experience with web analytics tools such as Google Analytics, Adobe Analytics, or Tag Managers.
• Experience with API and large data migration projects.
• Ability to coach and mentor Product Managers.
• Strong problem-solving, communication, and stakeholder management skills.
• Fluent English.

Nice to Have:

• Experience working with technical teams on modern web technology stacks such as React, Next.JS, JavaScript, and NodeJS.
• Understanding of software development and networking fundamentals.
• Experience with AI tools and concepts.
• Additional Agile, Scrum, Product, or Project Management certifications.

What We Offer:

• Opportunity to work on large-scale digital and e-commerce projects.
• A role with high ownership and impact on product and delivery processes.
• Professional growth and opportunities to develop your Product Management expertise.
• A dynamic, collaborative environment with modern tools and Agile practices.

At Bixter, we're building a connected platform for international recruitment and workforce training. AI is moving fast, and we need someone whose job is to stay ahead of it on our behalf: to know what tools like Claude, GPT, Copilot, and whatever comes next can actually do, and to turn that knowledge into real advantage for us, not just talk about it.

We're looking for an AI Enablement Engineer who is genuinely expert in the practical use of AI and can move between advising and building both for internal operation and customer facing digital products.

Jobs to be done

• Stay current on AI tools and capabilities (Claude, GPT, Copilot, n8n, and others), and know what each is actually good for
• Advise internal operation, leadership, product development, sales and marketing on how and where to use AI across the business
• Follow the market and trends in AI use in practice
• Build automated workflows in and around our CRM, connecting AI capabilities into everyday operations
• Build AI-powered dashboards and reporting tools
• Suggest new AI capabilities we could add to our ecosystem, and help scope what it would take to build them
• Understand code well enough to work at the AI level. reading and writing code when needed, but primarily working through AI tools and APIs rather than building everything from scratch
• Handle integrations and API work when a project needs it

Requirements

• Deep, hands-on experience with modern AI tools, you've actually used Claude, GPT, Copilot, and similar tools to solve real problems
• Comfortable moving between advising and building.
• Strong understanding of code and technical systems, even if you're not writing production software full-time
• Experience building automation or integrations connecting tools like a CRM to other systems
• Genuinely curious and follow AI developments closely
• Comfortable working directly with leadership and translating business needs into practical AI use
• Show case of the previous work

Experience working with Odoo platform is plus. 

We help with relocation process and finding accommodation while expenses should be covered by the candidate. 

The role
You will lead technical direction and hands-on delivery of cloud-native back-end systems, using AI to accelerate disciplined engineering. Partnering with the Product Manager, who owns business priorities and the product roadmap, you will turn complex, ambiguous goals into clear architectures and achievable delivery plans. You will guide and assist engineers, facilitate shared understanding, and remain close enough to the implementation to diagnose issues and contribute directly.

This role owns technical leadership, mentoring, and delivery accountability. Formal HR performance management is outside its responsibilities.

What you will do

• Analyze business workflows and requirements with clients and the product team. Surface contradictions, missing requirements, risks, and impractical assumptions before directing implementation.
• Lead architecture and technical specification development, including interface contracts and nonfunctional requirements. Establish shared engineering practices and guide the team in applying appropriate controls.
• Deconstruct complex problems into simpler components and incremental delivery plans. Facilitate resolution of ambiguity and competing perspectives so the team understands the chosen approach.
• Direct agentic development tools through bounded tasks and explicit instructions. Review generated changes and retain ownership of code quality and the overall solution.
• Explain architectural tradeoffs in terms of business value, delivery time, operating cost, reliability, and supportability. Choose among serverless, containers, and other deployment approaches based on the problem.
• Build automated validation and diagnostic capabilities. Work with QA and DevOps on release readiness, secure deployment, production support, and learning from incidents.
•  

Required experience and engineering foundations
7+ years of professional back-end engineering experience. The 12-month AI experience requirement below is part of this total.

• Strong computer science and software engineering fundamentals, grounded in substantial hands-on back-end development with a production stack such as C#/.NET, Python, or Node.js/TypeScript.
• Hands-on production experience with at least one of AWS, Azure, or GCP, including serverless compute, messaging, data storage, identity, observability, and deployment.
• Sound understanding of API design, service and module boundaries, SQL and NoSQL data modeling, distributed systems, concurrency, and event-driven processing.
• Practical experience with automated testing, code review, source control, CI/CD, infrastructure as code, application security, and diagnosing production problems.
• Ability to read, critique, debug, and modify code and resolve technical issues independently of AI. You remain accountable for designs, implementations, and outcomes regardless of how they are produced.
• Proven hands-on technical leadership: architectural decisions, mentoring, constructive technical review, and coordinating delivery through influence and collaboration. Strong traditional leadership plus demonstrated individual AI proficiency qualifies.
•  

Required experience with design time AI
Design-time AI means using AI during analysis, design, implementation, testing, and maintenance. We require practical proficiency in rigorous engineering across repeated changes to complex systems.

• At least 12 months of sustained professional AI-assisted software development within your overall engineering experience, including hands-on use of agentic coding tools such as Claude Code, Codex, or comparable tooling.
• Experience delivering production software with AI and maintaining it through multiple subsequent iterations. You can explain your specifications, architectural choices, change controls, validation, and lessons from failures. Vibe coding alone does not meet this requirement.
• Ability to apply disciplined, specification-driven development: clarify ambiguity with the appropriate owners, expose assumptions, define technical designs and acceptance criteria, and keep specifications, contracts, decisions, and implementation aligned.
• Effective delegation to AI: decompose work into bounded tasks, provide relevant context and constraints, anticipate misinterpretation, define acceptance criteria, and critically review outputs. Use adversarial review to challenge assumptions and surface gaps.
• Ability to discuss choosing models for analysis, implementation, and review based on capability, reliability, latency, and cost, and managing context and token consumption in development workflows.
• Understanding of how architectural boundaries, explicit interfaces, and contracts contain change. Explain how you would prevent or detect unintended rewrites, assess downstream effects, and maintain a complex application across iterations.
• Ability to discuss validation controls, their limitations, and when particular controls are mandatory or implementation choices. Recognize that AI-generated code and tests can share mistaken assumptions and explain how you would challenge them.

• Ability to describe how specific tools and workflows preserve shared project context and enable another engineer to continue the work. Willingness to learn and work with Altus Nova Assistant (ANA), Altus Team AI, and the AI technologies and frameworks we develop.

   

Required runtime AI understanding
Runtime AI means AI capabilities operating within deployed solutions. You must meaningfully discuss the concepts below and outline a basic production workflow. Practical runtime AI implementation experience is a strong advantage.

• Explain model limitations, context management, retrieval, structured outputs, tool use, and cloud-based agentic workflows, with the ability and commitment to mature into production implementation.
• Distinguish functionality best implemented with deterministic code from work suited to LLM reasoning. Discuss how the approaches can be combined within reliable systems.
• Discuss workload routing among models based on capability, reliability, latency, and cost. Explain context and token management and guardrails for budgets, retries, and agent execution limits.
• Discuss safeguards that reduce and detect hallucinations, including grounding, output validation, evaluation, and appropriate abstention or escalation when evidence is insufficient.
• Distinguish generating a recommendation from executing an action. Discuss least-privilege access, human review and approval, rejection paths, failure handling, observability, and recovery.

• Discuss protecting client information in development tools and runtime systems, including secrets management, prompt injection, untrusted retrieved content, and restrictions on agent access to tools and systems.
  You will lead selection and design of technical controls for the team, engaging relevant specialists when a solution requires deeper expertise.

   

Communication and collaboration
- Strong spoken and written English is required. You must explain complex concepts in plain language, listen carefully, ask precise questions, and communicate effectively with client executives, subject-matter experts, and engineering teammates. Constructively challenge flawed specifications and work with their owners to resolve them.
- You must help others reason through ambiguity, incorporate differing perspectives, and build a shared understanding of the architecture and delivery plan. Delegation requires clear guidance, appropriate review, and support for the people doing the work.
- You will work with Product Managers, Business Analysts, architects, designers, front-end engineers, QA, and DevOps. We value constructive debate, clear decisions, and helping teammates succeed. Engineers engage directly with clients, participate in planning and estimation, demonstrate their work, document decisions, and track time accurately. Production reliability is a shared priority.

Preferred experience

• C#/.NET development and experience adapting across back-end languages and frameworks.
• Production AI workflows, including model routing, retrieval, evaluations, human approval, and cost controls.
• Legacy modernization, third-party integrations, or business-critical systems in complex client environments.

• Guiding teams in AI-assisted engineering and improving shared development workflows.

   

How we assess candidates
Our process includes a collaborative, real-time whiteboard session where you analyze unfamiliar problems, clarify ambiguity, and explain your approach with the interviewers. Candidates who pass complete a practical task using AI and walk the team through the resulting specifications, implementation, and validation. You must demonstrate independent reasoning, understand the outputs, and be able to take responsibility for the outcome.

Computer Vision Engineer

About Farsight Vision

Farsight Vision develops AI-powered geospatial intelligence solutions for defence and security operations. The platform transforms raw aerial and sensor data into real-time 3D environments, actionable analytics, and AI-assisted operational scenarios, enabling enhanced situational awareness, mission planning, and faster decision-making for both human operators and autonomous systems.

We operate at the intersection of computer vision and GIS, and if that interests you, read on.

We are looking for an experienced Computer Vision Engineer to own the design, development, and deployment of advanced CV algorithms – with a particular focus on GIS applications, image synthesis, and real-time perception pipelines. This is a hands-on engineering role in a startup where theoretical knowledge without execution has no value. You will work across the full pipeline: from data collection and preprocessing through model development and production deployment.

Responsibilities

• Design, develop, and deploy production-ready computer vision algorithms for image and video analysis in GIS-related applications
• Build end-to-end perception pipelines – data collection, preprocessing, model development, deployment, and monitoring
• Integrate CV components into operational products in close collaboration with cross-functional engineering teams
• Optimize algorithms for performance, reliability, and scalability in real-time and resource-constrained environments
• Develop and deploy Visual Place Recognition (VPR) systems for geo-localization and scene understanding tasks
• Implement and optimize CV algorithms on embedded and hardware-accelerated platforms, ensuring stable and efficient inference at the edge
• Process and analyze large-scale datasets for model training, validation, and continuous improvement
• Diagnose and resolve complex issues across computer vision applications in production
• Contribute to internal research, exploring emerging techniques in image synthesis, manipulation, and applied ML.

Requirements

• Expert-level Python – this is our primary engineering language. You must be comfortable writing clean, efficient, production-quality Python code
• 5+ years of hands-on experience in computer vision and applied machine learning
• Deep working knowledge of core CV and ML libraries: OpenCV, PyTorch, TensorFlow, and related tooling
• Solid understanding of machine learning, deep learning, and model development workflows end-to-end
• Hands-on experience with Visual Place Recognition (VPR) algorithms and techniques, including descriptor-based retrieval, sequence matching, and localization under varying conditions
• Proven ability to port, optimize, and run CV/ML models on embedded devices and edge hardware (e.g., NVIDIA Jetson, Raspberry Pi, or similar platforms)
• Proven experience with image processing, model training, and evaluation methodologies
• Ability to translate research into reliable engineering outputs with minimal supervision
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field – or equivalent demonstrable experience
• Strong analytical thinking and clear communication in a cross-cultural, fast-moving team.

Nice to have

• Experience with graphics APIs: OpenGL, OpenGLES, or Direct3D
• Background in graphical algorithms, 3D rendering, or computational geometry
• Familiarity with embedded systems or hardware-accelerated processing (TensorRT, ONNX Runtime, OpenVINO)
• Experience with VPR frameworks such as NetVLAD, SuperGlue, or HLoc

Security Eligibility

Our platform is actively used by the Armed Forces in live operations. As an Estonian-Ukrainian defense technology company handling sensitive operational data, we have a responsibility – legal, ethical, and practical – to ensure the integrity of everyone on our team. 

All candidates must be able to confirm the following:

• Neither you nor your close relatives (parents, spouse, siblings, children) reside in Russia, Belarus, or temporarily occupied Ukrainian territories
• You have no regular personal, financial, business, or professional contact with individuals in those territories
• You consent to a deeper security verification if the process advances to later stages

If any of the above criteria are not met, please do not proceed with your application.

Why Farsight Vision

We are a startup operating under real-world conditions – our product is in active deployment, and the pace reflects that. We are not building for a demo. Estonia is one of the most digitally advanced and defense-conscious countries in Europe – and Tallinn is increasingly home to serious defense tech. If you want to work on a problem that is hard, urgent, and consequential, this is the right place.

Flexible working hours. Paid vacation and sick leave. Direct access to founders and leadership

Application Process

1. Submit your CV and a brief cover letter explaining your interest and relevant experience
2. Complete a technical assignment designed to reflect the real problems we solve
3. Interview with our technical team and leadership

Get to know us

Ideals is a global B2B SaaS product company recognized as the most highly rated and customer-centric brand in the secure business collaboration market. Trusted by over 2,000,000 users from 300,000 companies globally, we help people run high-stakes processes and make important decisions with less stress, higher quality, and shorter hours.

Ideals Virtual Data Room (VDR): Secure document sharing and collaboration for due diligence, fundraising, corporate reporting, licensing, clinical trials, and other complex transactions.

The role

We're looking for a Staff Engineer / Tech Lead to join our Engineering team. In this role, you'll combine hands-on technical delivery with impact that extends beyond a single team: raising engineering standards, helping teams work through ambiguous problems, and supporting the growth of the engineers around you.

You'll work as part of a team on modernization efforts and new feature initiatives, including AI-related capabilities, and your focus and team assignment may evolve based on where the organization needs expertise most.

Impact in this role spans four areas: hands-on project delivery, engineering excellence across the wider backend, providing direction when problems are ambiguous, and contributing to the growth of the people around you.

This role tends to be the most rewarding for engineers who enjoy being a multiplier for the people around them: unblocking teams, shaping direction together, and growing others along the way, rather than working in isolation or waiting to be told exactly what to do next.

What you will do

• Work hands-on within your team, contributing to the design, development, and delivery of features and technical solutions
• Lead technical modernization efforts within your team while enabling delivery of new functionality, including AI-related features
• Raise engineering standards and practices across the backend, and help solve problems shared across multiple teams
• Help teams turn ambiguous, poorly defined problems into a clear plan of action when experience or confidence is lacking
• Contribute to the growth of engineers around you through mentoring, input into personal development plans, and recommendations on skills, resources, or courses
• Balance hands-on delivery with acting as an enabler for other engineers and processes, rather than simply directing others' work

What you bring

• Expert-level backend engineering skills in C# / .NET
• Solid experience with automated testing, DevOps practices, and working with databases
• A strong product mindset - understanding of the business and product context behind technical decisions
• Proven ability to work autonomously and collaborate as a peer with senior engineers, without needing tasks broken down for you
• Comfort with responsibilities beyond pure technical delivery, such as mentoring, cross-team collaboration, or representing the team on broader initiatives
• Strong communication skills and an Upper-intermediate (B2) or higher level of English

Nice to have

• Hands-on experience building or integrating AI-related features
• Experience with system design and architecture-level decision-making

What we offer

We highly value our people, so we will empower you with all the resources and support to help you reach your full potential.

For your best work

• Remote-first flexibility to shape your ideal workday
• Home workplace budget
• Resilient home budget for Ukraine-based teammates
• Resilient office in Kyiv & co-working expense coverage
• Individual IT budget for extra equipment
• Top-tier tech and AI-powered tools

For your growth

• Access to Ideals Academy with numerous courses
• Investment in external learning and development activities
• Guidance in Personal Development Plan creation
• Professional literature and subscriptions coverage
• Support of your passion as a speaker or writer
• Internal talent mobility opportunities

For your well-being

• Medical insurance and Wellness Package for sport-related activities
• Full coverage of mental health sessions for Ukrainian teammates
• Funding for sports competitions
• 20 business days of paid time off per year
• Unlimited health-related time-off

Extra perks

• Generous internal referral program

Our culture

Commitment, Excellence, Collaboration, Trust and Care are core values to the Ideals team. For us, these are the principles that every Idealer lives and breathes. We are on the lookout for like-minded individuals who share our values. By doing so, we create a team where talents feel at ease and work to the best of their abilities.

Discover more.

Ideals is an equal opportunity employer

Ideals is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people from all walks of life. We don’t discriminate against employees or applicants based on gender identity or expression, sexual orientation, race, religion, age, national origin, or citizenship.