Jobs AI

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

AI Product Manager - You Define It, You Build It (Insurance)

| Full time | Remote (Europe, CET overlap) | Occasional travel | Start: ASAP | 7+ years XP

The bottleneck in software is no longer building it. It is knowing what is worth building.

Someone who deeply understands a business can now sit down with Claude Code and have a real product in production by the end of the week. You bring the business judgement. Claude Code handles the technical details.

What you'll work on

Insurance is one of the oldest, most paper-heavy industries there is. We are rebuilding it with AI first tooling. Real customers, real money, real regulation. Small team, no sprints, no rituals. An idea in the morning is often live by the evening.

The role

You own a whole product area end to end: why we build it, what it is, the build, the tests, the rollout. There is nobody that hands you a spec.

Must have

- Insurance industry experience

- 7+ years in product management or a similar business role where you owned what users received

- A real software product you delivered to real users

- Your own hands-on Claude Code work. Something you built yourself, not your team

German language is a plus, not required.

We are looking for an experienced Principal AI Engineer to lead the architecture, technical strategy, and evolution of enterprise-scale AI platforms and GenAI-powered solutions. The role requires strong hands-on experience with production AI systems, RAG, AI orchestration, distributed platforms, and AI engineering standards.

Responsibilities

• Define and own the architecture of enterprise-scale AI platforms
• Design and develop production-grade GenAI systems and AI-powered solutions
• Lead the development of RAG pipelines, retrieval infrastructure, and AI orchestration frameworks
• Design scalable distributed systems, APIs, data pipelines, and event-driven architectures
• Establish standards for AI quality, evaluation, observability, governance, and model lifecycle management
• Define and scale AI-driven software-development practices, including tools, guardrails, and automation patterns
• Drive architecture decisions and technical alignment across multiple engineering teams
• Build reusable AI platform components, frameworks, and internal tooling
• Conduct architecture and code reviews and mentor senior and Staff-level engineers
• Collaborate with product, data, security, infrastructure, and engineering teams
• Document architectural decisions, technical standards, and organizational best practices

• Lead technical initiatives across distributed international teams

   

Requirements

• 12+ years of professional software-engineering experience
• Significant experience working at Staff or Principal Engineer level
• Strong hands-on experience building and deploying production-grade GenAI / LLM systems
• Expert-level Python engineering skills
• Strong experience with LLM applications, RAG, vector databases, and retrieval infrastructure
• Experience with LangChain, LlamaIndex, semantic search, or similar AI frameworks
• Strong understanding of AI evaluation, model lifecycle management, observability, and MLOps
• Proven experience designing and evolving large-scale distributed systems
• Strong knowledge of APIs, data pipelines, event-driven systems, and high-scale platforms
• Experience driving architecture and platform initiatives across multiple teams
• Hands-on experience with AI-assisted development tools such as Copilot, Claude Code, or Cursor
• Strong engineering fundamentals in code quality, testing, CI/CD, and observability
• Ability to influence technical decisions and drive alignment without formal authority
• Experience collaborating with distributed teams across different regions and time zones

• Professional English, Upper-Intermediate or higher

   

Nice to have

• Experience building enterprise AI platforms or internal AI developer platforms
• Experience with Kubernetes, cloud platforms, and infrastructure automation
• Experience with MLOps platforms and model monitoring
• Experience with event-driven architectures and large-scale data processing
• Experience establishing AI governance and engineering standards across organizations
• Experience working with distributed teams across the US, China, and LATAM
• Experience in enterprise SaaS, FinTech, healthcare, or other complex domains

We’re looking for an experienced developer to build an AI assistant that users can interact with through text messaging. The assistant will connect to our existing database, answer questions using our information, handle follow-up questions, and send personalized news updates based on users’ interests.

The experience we’re aiming for is similar to texting an assistant like Instinct or Muse, with a focused scope: answering questions using our existing database and delivering personalized news updates.
 

You’ll take ownership of the technical setup, integrations, and development, working with our team to launch an initial version. Our target is a working pilot within approximately one month, with the scope finalized together.
 

You should have strong Python/Django experience and hands-on experience integrating AI models, APIs, and databases. Experience with Twilio or similar messaging platforms is important, along with building secure account access, subscription permissions, and scheduled notifications.
 

We’re looking for someone who has built and launched practical AI applications and can make sound technical decisions, communicate clearly, and identify potential issues early. Accuracy is essential: the assistant needs to retrieve reliable information from our data and handle unclear questions appropriately.
 

When applying, please share examples of relevant applications you’ve built, explain your specific role, and describe the tools you used. Please also include your availability over the next month and your hourly rate or estimated project budget.

Are you energized by walking into a client’s operation, finding the workflow that’s actually holding them back, and rebuilding it so AI handles the parts that don’t need a person? At Sigma Software, we don’t just add AI on top of existing processes  we redesign how the work gets done, with AI built into the operating logic from day one.

We’re looking for a Forward AI Deployment Engineer to own that redesign end to end: embedded with the client, hands-on with whatever automation the workflow actually needs, and accountable for turning a real operational problem into something running in production not a demo, not a pilot. Each engagement is built to leave something behind for the next one patterns, infrastructure, governance that already held up in production  so the second engagement doesn’t start from zero, and the tenth looks nothing like the first.

Requirements

• Proven experience taking AI systems from prototype to production inside a real operating environment, not just in a lab or sandbox
• You treat LLM/RAG architectures, agentic systems, cloud platforms, and data pipelines as tools for redesigning how work gets done, not as the deliverable — and you’re strong and current enough with all of them to actually use them that way
• Comfort mapping decision logic that’s partly undocumented, and judgment about where automation should stop and human accountability should start
• Excellent communication and stakeholder management — able to advise a client directly and escalate without being asked

• BFSI domain experience is a must-have: Proven commercial experience delivering solutions for Banking, Financial Services, or Insurance, including understanding business processes, identifying operational challenges, and implementing technology solutions tailored to the domain

   

  Responsibilities

   

• Embed directly with the client’s operational team to find the workflow that’s actually costing them time, quality, or money before recommending any tooling.
• Own the redesign end to end: rework the decision flow and handoffs around AI, then take the resulting system into production yourself.
• Translate a vague, cross-functional business problem into a concrete technical plan the client’s team can actually execute against.
• Prototype fast enough to show the client what’s possible, then build only the parts of that prototype the redesigned workflow actually needs.
• Where the redesign calls for it, build the agentic systems, RAG pipelines, or custom data pipelines that make it real never a deliverable in itself, always because the workflow needs it running in production.
• Manage stakeholder alignment across the client’s org, escalating early and requesting support before a blocker becomes a delay.
• Build up the client’s own team alongside the system pair with their people, explain the reasoning behind each decision, and leave them able to run and improve what you built after you’ve moved to the next engagement.
• Build the feedback loop from day one  telemetry, evaluation pipelines, human-in-the-loop review — so the system keeps improving after you’ve moved on.

We are looking for an AI Manager to our team.

Ideal for someone who is passionate about AI and its practical application in business and wants to shape how an organization adopts AI at scale.

AI Governance & AI Adoption · AI Risk Assessment · AI Agents & Automation· Information Security & Data Governance

What you'll do:

1. Build and Own the AI Governance Framework

• Develop clear and practical rules for AI usage across the company.
• Define which AI tools and use cases are approved, require additional review, or are prohibited.
• Establish clear guidelines on what types of company data can and cannot be shared with AI services.
• Develop a risk assessment framework for new AI tools and use cases.
• Define clear ownership and responsibilities across AI, Security, Legal, IT, and business teams.
• Create a streamlined approval process for AI initiatives without unnecessary bureaucracy.

2. Enable AI Innovation — Don’t Block It

• Build governance processes that enable employees to safely explore and adopt AI rather than creating unnecessary barriers.
• Establish a self-service approach for low-risk AI initiatives.
• Define clear and practical risk assessment criteria.
• Introduce a fast-track approval process for standard and low-risk use cases.
• Maintain a catalogue of approved AI tools.
• Develop practical templates, guidelines, and playbooks for teams.
• Establish sandbox and pilot mechanisms for testing new AI solutions.

3. Drive AI Adoption Across the Company

• Collect, structure, and maintain a portfolio of AI use cases across teams.
• Help teams identify opportunities where AI can improve efficiency, quality, or decision-making.
• Identify and prioritize the most promising AI use cases.
• Support teams in running AI pilots and measuring their impact.
• Identify successful use cases and help scale them across the organization.
• Build a culture of responsible and effective AI adoption.

4. Manage Long-Term AI Risks

• Build processes to identify and manage AI-related risks throughout the lifecycle of AI solutions.
• Monitor risks related to data leakage and misuse of company information.
• Assess privacy, security, and compliance risks associated with AI adoption.
• Establish controls around the use of AI in critical or high-impact decision-making.
• Define approaches to managing AI hallucinations, inaccuracies, and other model-related risks.
• Assess and mitigate vendor and dependency risks associated with AI providers.
• Establish governance for the growing use of AI agents and automated processes.
• Monitor changes to AI vendors’ terms of service, capabilities, and risk profiles.
• Keep AI governance aligned with evolving regulatory and compliance requirements.
• Identify and manage potential reputational and operational risks related to AI.

5. Establish AI Lifecycle Management

• Design and implement an end-to-end AI lifecycle management process:
  Idea → Risk Assessment → Pilot → Approval → Production → Monitoring → Review
• Ensure the company has clear visibility into which AI solutions are being used, why they are being used, what data they process, and who is responsible for them.
• Establish regular review and reassessment mechanisms for AI tools and use cases.
• Ensure AI governance remains effective as tools, use cases, risks, and regulations evolve.

Your expertise:

• Proven experience building and driving AI adoption processes in fast-paced and constantly evolving environments.
• Ability to evaluate AI use cases from both business value and risk perspectives.
• Solid understanding of information security, privacy, and data governance principles.
• Experience working cross-functionally with Security, Legal, IT, and business teams.
• Strong stakeholder management, communication, and collaboration skills.
• Ability to translate complex technical, security, legal, and regulatory requirements into clear and practical guidelines for employees.
• Strong systems thinking and the ability to design scalable processes that can evolve with the organization.
• Proactive mindset and willingness to independently research and evaluate emerging AI technologies, tools, and use cases.
• Hands-on experience with AI agents, automation, and AI-powered workflows.
• Technical background with the ability to understand AI technologies, architectures, and their practical implications.
• Previous experience in fintech, financial services, or another highly regulated technology environment.

Life at Emergine:
Stay Supported

• 100% paid sick leave
• 21 working days of paid vacation
• Medical support for office and remote employees
• Benefits Cafeteria including sports, gym, healthcare, dental care, psychological support, wellness and learning.

Work Without Borders

• International team
• Global collaboration
• Flexible work models depending on the role
• Remote, hybrid or office-based setup depending on the position

Grow Through Motion

• PDP and career development plans
• Regular feedback sessions
• Leadership opportunities
• Continuous professional development
• Knowledge-sharing sessions
• Management development initiatives

Create Real Impact

• Ownership from early stages
• International projects
• Complex and meaningful challenges
• Collaborative management
• Open communication
• Low bureaucracy
• Space for initiative and innovation

Hiring process:
HR Interview ·  Technical Interview ·  Final Interview · Reference check · Job Offer

About Us:

Westmont is a global talent and workforce solutions company connecting businesses with skilled professionals from emerging talent markets. We help companies build reliable remote teams across technology, customer support, executive assistance, and other specialized roles.

About the role

We are currently looking for a Full-Stack / Frontend Engineer for a fully remote, full-time position with one of our international clients. The engineering team works on a modern SaaS product and expects engineers to take ownership of features across the stack, from database and backend work through to production UI.

What you’ll work on

• Building and improving web applications
• Scheduling and calendar functionality
• Sales pipeline / Kanban boards
• Analytics and dashboards
• New features and responsive UI components
• API and third-party service integrations
• Database, backend and frontend development

Requirements

• 2+ years of professional experience with React, Next.js and TypeScript
• Strong JavaScript / TypeScript fundamentals
• Strong full-stack understanding — frontend through database/backend
• Practical SQL experience, including queries, migrations and database/schema design
• Experience with REST APIs, webhooks and OAuth
• Good understanding of frontend architecture, state management, performance and accessibility
• Experience with unit, integration and E2E testing
• Experience with CI/CD pipelines and GitHub Actions
• Ability to work independently and take ownership of features
• 1+ year of regular AI-assisted development using tools such as Claude Code, Cursor or GitHub Copilot
• Fluent English and strong communication skills

Nice to have

• Next.js App Router, Server Components or Server Actions
• Supabase / PostgreSQL / Row-Level Security
• React Native / Expo
• Turborepo / Bun / monorepo experience
• Open-source contributions or strong personal projects

Tech stack

Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, Supabase/PostgreSQL, Hono, GraphQL Yoga, Inngest, Clerk, Stripe, Nylas, Vercel, Turborepo, Bun, GitHub Actions, Vitest and Playwright.

Compensation: $1,500 USD/month

Type: Full-time, fully remote

Location: Ukraine / Europe

Working hours: The client is based in Bali, Indonesia, so you must be comfortable working according to the client’s Bali/WITA time zone.

To apply

Please send your CV and GitHub/portfolio, and include your current location/time zone, availability, and a short summary of your experience with React, Next.js, TypeScript and AI-assisted development

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

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.
   

We are looking for an experienced AI Solution Lead to drive the identification, design, and delivery of AI-powered solutions that create measurable business impact. In this role, you will lead cross-functional AI teams, act as the bridge between business and technology stakeholders, and oversee the entire lifecycle of AI and Large Language Model (LLM) initiatives.

You will play a key role in transforming business challenges into innovative AI solutions, ensuring successful delivery while balancing business value, technical feasibility, and compliance requirements.

Key Responsibilities:
 

Identify and Prioritize AI Opportunities

• Analyze business processes and identify high-value AI and automation opportunities.
• Build business cases and evaluate expected ROI, including efficiency gains, cost reduction, and quality improvements.
• Prioritize initiatives based on business impact, technical feasibility, and risk.

Lead AI Solution Delivery

• Coordinate and mentor AI/LLM engineers and other technical contributors.
• Define project scope, objectives, and acceptance criteria.
• Manage project backlogs, delivery timelines, and key deliverables.
• Ensure successful execution of Proof of Concepts (PoCs), MVPs, and production-ready solutions.

Design AI and LLM Solutions

• Define high-level solution architecture and integration approaches.
• Select appropriate AI models, LLM platforms, cloud services, and supporting technologies.
• Collaborate with engineering teams to ensure scalable, secure, and maintainable implementations.

Business and Stakeholder Management

• Gather, analyze, and formalize business and technical requirements.
• Translate business needs into actionable tasks for technical teams.
• Present AI concepts, project progress, and solution outcomes to business stakeholders.
• Educate stakeholders on AI capabilities, limitations, risks, and best practices.

Key Requirements:

• 2+ years of experience as an AI Tech Lead, AI Solution Owner, Senior AI Engineer, AI Architect, or similar role.
• Hands-on experience delivering AI, Generative AI, RAG or LLM-based solutions.
• Experience with cloud platforms (Azure, AWS, or GCP) and API-based integrations.
• Proven experience leading or coordinating technical teams.
• Strong requirements gathering and stakeholder management skills.
• Ability to translate business challenges into technical solutions.
• Excellent communication skills with the ability to explain AI concepts, risks, and limitations to non-technical audiences.
• English level: Upper-Intermediate (B2+) or higher.

Nice to Have

• Knowledge of AI governance, Responsible AI, security, and compliance frameworks.
• Experience delivering AI projects within enterprise environments.

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

The project. A UK startup founded by experienced founders with successful startups behind them, now closing its funding round. Their AI agents interview a company's employees about how they work, map the organisation's processes, and then build and run agents that automate them. That includes the infrastructure, integrations with Slack and Teams, and dashboards showing hours saved and the return on AI.
 

The team. It's small and very advanced in AI-driven development (about 100 PRs a week with agents). It has a senior CTO and a fast junior engineer, and needs a strong senior engineer in between.
 

What you'll do. This is a hands-on role, not management. You'll own the quality of the LLM product (evals, prompts, conversation quality, guardrails), improve the AI dev process, and design parts of the system (RAG, memory, agent security).
 

Must-haves:

• You've shipped production LLM products, ideally conversational or agentic
• Hands-on experience with evals
• Strong system design for LLM systems
• Fluent in agentic development
• Good English

• Full focus on this project

   

Nice to have:

• Microsoft Teams / SharePoint / Graph API integrations
• Voice agents
• Knowledge graphs
• Experience with GDPR, SOC 2 or the EU AI Act
• Early-stage startup experience
   

We offer:

• 15 paid day-offs per year.
• 10 UK/UA holidays.
• Flexible schedule and fully remote work from anywhere with reliable overlap.
• Minimal bureaucracy, high authonomy and trust, fast decisions.
   

Approaching stages:
1. Two-way Q&A with me.
2. Meet & Greet with their СТО.
3. Meet & Greet with their Team.
4. ...
5. PROFIT

We are looking for an experienced Full-Stack Developer with strong backend expertise who is confident working with PHP/Laravel, databases, and Vue 3, and can independently take features from requirements through implementation to a QA-ready state.

The project is an actively evolving web platform with complex business logic, multiple integrations and APIs, and large volumes of data.

We are looking for an engineer who goes beyond simply writing working code and considers architecture, performance, scalability, and long-term maintainability when making technical decisions.

Backend — PHP / Laravel

Core stack:

• PHP / Laravel
• SQL / relational databases
• REST API
• JSON-RPC
• WebSocket

We expect:

• Strong commercial experience with PHP and Laravel
• Solid knowledge of modern PHP and Laravel, including recent language and framework features
• Good understanding of Laravel application architecture
• Strong experience with Eloquent and Query Builder
• Experience designing APIs and implementing complex business logic
• Understanding of queues, jobs, background processing, and caching
• Ability to identify and resolve backend performance bottlenecks
• Experience with error handling, logging, and diagnosing production issues

It is important that you understand not only how to implement something in Laravel, but also what happens at the application and database levels and how technical decisions affect performance and scalability.

Databases & Large Data

Working with databases is an important part of this role.

We expect strong SQL knowledge and practical experience working with large datasets.

You should be comfortable with:

• JOINs, GROUP BY, HAVING, subqueries, and aggregate functions
• Database transactions and locking
• Concurrent operations and race conditions
• Indexes and composite indexes
• Analyzing query execution plans with EXPLAIN
• Identifying and optimizing slow queries
• Preventing N+1 query problems
• Efficient filtering, sorting, and aggregation of large datasets
• Pagination and cursor-based processing
• Processing data in chunks and batches
• Bulk INSERT and UPDATE operations
• Processing large datasets without loading everything into application memory

You should be able to investigate why a query is slow, identify the actual bottleneck, and choose an appropriate optimization strategy.

We particularly value experience designing solutions that remain efficient as tables grow from thousands to millions of records.

A feature that produces correct results but generates hundreds of unnecessary database queries or significantly degrades as the amount of data grows is not considered a complete solution.

Frontend — Vue 3 / TypeScript

Core stack:

• Vue 3 / Composition API
• TypeScript
• Pinia
• Vue Router 4
• Vite
• SCSS
• Axios

APIs: REST, JSON-RPC, WebSocket

Testing: Vitest, Playwright

We expect:

• Commercial experience with Vue, JavaScript, and TypeScript
• Strong knowledge of Vue 3 and the Composition API
• Up-to-date knowledge of TypeScript, JavaScript, Vue, and the surrounding ecosystem
• Ability to build reusable and maintainable components
• Good understanding of frontend performance and performance trade-offs
• Strong attention to design fidelity and functional details
• Ability to independently integrate frontend functionality with APIs
• Proper handling of loading, error, and empty states

Engineering Approach

How you approach engineering problems is just as important to us as your knowledge of the technology stack.

We expect you to:

• Clarify requirements and ambiguities before starting implementation
• Raise blockers and potential issues early
• Think about architecture and code reusability
• Consider performance and future data growth when designing solutions
• Investigate problems independently and identify their root cause
• Test your own work before handing it over to QA
• Deliver features to QA in a complete and testable state
• Pay close attention to both functional requirements and UI details

We are not looking for someone who simply implements exactly what is written in a ticket without considering the broader context.

If you identify an unclear requirement, technical risk, performance concern, or potentially problematic implementation approach, we expect you to raise it and discuss it with the team.

DevOps

Deep DevOps expertise is not required.

However, you should:

• Understand fundamental DevOps concepts and workflows
• Be able to set up and run the project independently on your local machine
• Understand development, staging, and production environments
• Have a basic understanding of deployment workflows
• Be comfortable working with application and system logs
• Be able to communicate effectively with a professional DevOps engineer and understand technical explanations related to infrastructure and deployment

AI-Assisted Development

We actively use Claude and other AI-assisted development tools.

Using AI to improve development speed and productivity is encouraged, but you are expected to understand, review, and validate the code generated by AI.

This is particularly important when it comes to:

• Architecture
• SQL queries
• Performance
• Database query efficiency
• Race conditions
• Edge cases
• Security

AI should be used as an engineering tool, not as a substitute for engineering judgment.

The developer remains responsible for the correctness, performance, security, and maintainability of the final implementation.

Tools

• Git
• Figma
• Jira
• Slack
• Claude / AI-assisted development

Soft Skills

We are looking for someone who is:

• Proactive — raises questions, blockers, and ambiguities early
• Responsible — takes ownership of tasks and brings them to completion
• Collaborative — works effectively with another Full-Stack Developer, QA, Designer, and DevOps
• Detail-oriented — pays close attention to requirements and implementation details
• Comfortable receiving feedback and discussing technical decisions constructively
• Calm and respectful under pressure

Nice to Have

• Experience with high-load or data-intensive applications
• Experience working with database tables containing millions of records
• Practical experience with SQL performance optimization
• Experience optimizing APIs for large datasets
• Experience with queues and background processing
• Experience with WebSocket and real-time functionality
• Experience with unit and E2E testing

Who We Are Looking For

We are specifically looking for a Full-Stack Developer with strong backend expertise.

This is not a frontend position where you occasionally make backend changes, nor a backend position where you occasionally modify Vue components.

You should be confident working across PHP/Laravel, SQL, Vue, and TypeScript and be capable of independently implementing complete features — from data modeling, database queries, APIs, and business logic to the user interface.

Key responsibilities

• Own end-to-end solution architecture for data, analytics, and AI use cases, with accountability for design quality, security, scalability, supportability, and cost.
• Translate business needs into practical technical designs, target architectures, integration patterns, and delivery-ready implementation guidance.
• Lead by example through hands-on prototyping, architecture reviews, troubleshooting, code/design reviews, and technical support for delivery teams.
• Ensure security, governance, compliance, and operational readiness are built into solutions from design through production deployment.

Must have

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 10+ years of IT experience, including 5+ years in senior solution architecture roles for enterprise data, analytics, and AI platforms.
• 5+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs.
• Strong experience with enterprise security, governance, and compliance, and the ability to work effectively with enterprise architects and guiding or regulatory functions to ensure solutions meet organizational standards and control requirements.
• Enterprise AI enablement experience: designing solutions with Azure OpenAI and retrieval-augmented (RAG) patterns.
• BI/analytics architecture experience with Power BI or a similar enterprise BI technology.

Advantages

• Deep hands-on expertise in Power BI architecture, including semantic models, DAX, Power Query, workspace strategy, governance, performance optimization, and enterprise reporting patterns.
• Experience with Microsoft-first AI platforms and services such as Azure AI Foundry, Copilot Studio, Azure AI Search, Semantic Kernel, Prompt Flow, and enterprise AI governance patterns.
• Experience with Microsoft Fabric, Azure DevOps, GitHub Enterprise, and CI/CD for Data or AI solutions.
• Experience with Microsoft security and governance services such as Microsoft Entra, Purview, and Key Vault.
• Experience in life sciences, pharmaceuticals, or other regulated industries.
• Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture.

Key skills

• Hands-on technical leadership with a clear lead-by-example mindset.
• Strong architecture judgment across data, analytics, AI, integration, security, and non-functional requirements.
• Proven ability to own solution architecture end to end: shape target designs, validate them through prototyping or proof of concept where needed, guide delivery teams through implementation, and provide technical oversight through design reviews and production readiness checks.
• Ability to translate business problems into practical, delivery-ready technical solutions.
• Strong troubleshooting, decision-making, estimation, and risk management capability.
• Comfort working across distributed teams and external suppliers in enterprise delivery environments.
• Excellent communication skills in English, with the ability to drive alignment across architects, delivery teams, business stakeholders, and enterprise control functions.

Core technology stack

• Analytics: Power BI, semantic models, DAX, Power Query, Databricks, enterprise reporting and governance.
• Data platform: Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration.
• AI platform: Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow.
• Engineering and governance: Azure DevOps, GitHub Enterprise, CI/CD, Microsoft Entra, Purview, Key Vault.
• Optional / advantageous: Microsoft Fabric, Python, data observability and monitoring patterns.

Title: AI Engineer
Reports to: Principal AI Architect
Department: AI & Advisory
Location: Ukraine – Remote
Term: Full-Time

About Atlas Technica

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Position Overview

We are seeking an AI Engineer to join our growing AI & Advisory team in Ukraine. This is a hands-on engineering role focused on building, integrating, testing, and deploying AI-enabled applications and enterprise solutions for sophisticated client environments.

Working under the technical direction of a Principal or Senior AI Architect, the AI Engineer will translate approved architecture and security decisions into working software, integrations, deployment patterns, tests, and technical evidence. This role will build rapid proofs of concept while also helping move successful solutions toward secure, maintainable, and supportable production use.

The successful candidate will combine strong software engineering fundamentals with practical AI, Azure, integration, and security experience. This is not a research-only or prompt-engineering role; we are looking for an engineer who enjoys writing production-quality code, solving complex integration challenges, testing assumptions, and delivering reliable technical solutions.

Position Responsibilities:

• Build rapid proofs of concept and production-ready components for AI-enabled research, data access, document analysis, workflow automation, reconciliation, and internal application use cases
• Develop, review, refactor, test, and maintain application code using Python and other supported development technologies
• Build and integrate REST APIs, MCP components, connectors, webhooks, databases, enterprise applications, and data-integration services
• Connect AI-enabled workflows with Microsoft 365, SharePoint, Microsoft Graph, enterprise data stores, third-party platforms, and approved AI services
• Implement retrieval and data-processing solutions using embeddings, vector or hybrid search, metadata filtering, indexing, and access-aware patterns
• Deploy and operate applications within Microsoft Azure using approved hosting, identity, storage, database, networking, security, and deployment patterns
• Build repeatable development and release processes using Git, CI/CD, Docker, automated testing, and infrastructure automation
• Implement appropriate authentication, authorization, role-based access, secrets management, logging, monitoring, environment separation, and other security controls
• Test AI solutions for reliability, security, model failure, prompt injection, inappropriate data access, unsafe tool use, dependency failure, and other production-readiness risks
• Participate in architecture reviews, code reviews, client technical sessions, troubleshooting, production-readiness assessments, and technical handoffs
• Maintain clear implementation documentation, diagrams, runbooks, testing evidence, and technical decisions while proactively communicating blockers, scope changes, and delivery risks
• Contribute reusable code, deployment templates, testing approaches, connector patterns, and engineering standards to Atlas Technica’s Ukraine-based AI capability

Requirements:

• 5+ years of professional software engineering experience, including recent hands-on work with AI-enabled applications, cloud applications, data systems, or enterprise integrations
• Strong Python development skills with experience building APIs, services, scripts, applications, or data workflows
• Experience with at least one additional production development stack such as C#/.NET, TypeScript/Node.js, Java, or a comparable technology
• Hands-on Microsoft Azure experience across application hosting, identity, storage, databases, secrets management, logging, monitoring, and deployment
• Practical experience with LLM APIs, agentic workflows, retrieval-augmented generation (RAG), embeddings, structured outputs, prompt design, and model limitations
• Experience building or integrating APIs, connectors, MCP components, databases, data platforms, or enterprise workflow systems
• Strong understanding of authentication, authorization, role-based access control, least privilege, environment separation, and secure secrets management
• Experience with Git, CI/CD, Docker, automated testing, production troubleshooting, and modern software-development practices
• Ability to write clean, maintainable, and testable code and clearly explain technical and implementation decisions
• Strong problem-solving, ownership, documentation, and follow-through skills with the ability to work effectively in a remote and collaborative delivery environment
• English proficiency at B2 level or higher, with the ability to participate effectively in technical client discussions and produce clear written documentation

Desirable Qualities:

• Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, or comparable AI orchestration technologies
• Experience with Microsoft Graph, SharePoint Online, Microsoft Entra ID, Microsoft 365, Copilot Studio, or Power Platform
• Experience with technologies such as Azure Functions, Azure Container Apps, App Service, Azure SQL, PostgreSQL, Cosmos DB, Snowflake, or similar data and application platforms
• Experience developing evaluation datasets, regression tests, or other approaches for testing non-deterministic AI components
• Experience moving prototypes, internally developed applications, vendor solutions, or citizen-developed applications toward controlled production use
• Experience supporting financial services, regulated industries, enterprise clients, or other environments with strong security and compliance requirements
• Relevant Microsoft Azure, AI, software engineering, or cloud certifications
• Experience creating reusable engineering patterns, mentoring junior engineers, or contributing to engineering standards and technical knowledge sharing

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.

Key Requirements:
🔹 5+ years of professional software development experience, primarily in backend development;
🔹 Strong experience designing and building production-grade services and APIs;
🔹 Strong software engineering fundamentals, including system design, data structures, clean code, and scalable architecture;
🔹 Strong experience working with C# / .NET ;
🔹 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.

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.
 

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;
🔹 Live Coding Session;
🔹 Interview with CTO;
🔹 HR Interview;

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.