Jobs AI

We're looking for an Intern/Junior FullStack Developer to join our team and help us build our own products and client products.

Requirements

• Hands-on experience with at least one of: React Native, React, Next.js, or Nest.js
• Solid JavaScript/TypeScript fundamentals
• Understanding of how frontend and backend talk to each other (REST, auth, databases)
• Git and basic teamwork practices
• Ability to take a task and bring it to a working result
• English — Intermediate or higher

We expect developers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.

You should be comfortable using AI for:

• writing and refactoring code;
• debugging;
• writing tests;
• shipping features faster without losing quality.

Nice to have

• Ability to build a full-cycle system or product from scratch — big plus
• Own products or pet projects you can show
• Experience across both mobile and web
• Deployment basics: CI/CD, hosting, environments

What you'll do

• Develop features for our own products and client projects
• Work across the stack — frontend, backend, and everything in between
• Turn rough ideas into working prototypes and then into production features
• Use AI-assisted development tools as part of your daily workflow
• Participate in code reviews and learn from the team

What we offer

• Competitive compensation
• Mentorship and a fast learning curve on real products
• Flexible working hours
• Freedom to propose ideas and build things end-to-end
• Small team with quick decision-making and minimal bureaucracy

Team Summary

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.

We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases. 

The team contributes to the development of AI features and embedded systems.

Job Summary

We are looking for a QA Team Lead who will own and drive QA strategy and processes across multiple programs, aligning testing approaches with business needs and evolving them as requirements change.
 

Responsibilities and Duties

• Ensure the team adheres to testing best practices, meets division-level quality standards, and delivers outcomes aligned with stakeholder expectations.
• Track and analyze testing metrics and results to provide clear quality status reports at each SDLC milestone.
• Plan QA activities, support engineers with task estimation, and define test scopes.
• Allocate QA resources across features, review performance, and mentor direct reports and team members.

Qualifications and Skills

• 5+ years of experience as a QA engineer, 2+ years of experience in a leading role
• Basic knowledge in computer vision and machine learning
• Understanding and hands-on experience with embedded systems testing
• Automation skills with Python (ability to read a script or maintain simple tests)
• Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
• Experience with databases and SQL
• Experience with CI tools (Jenkins)
• Good written and spoken English

Nice to have

• Basic experience with Raspberry Pi
• Hands-on experience in Bash scripting
• Familiarity with AWS services
• Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
• Experience in mobile testing
• ISTQB Certification Advanced Test Manager

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member.
• Competitive compensation and perks. Annual performance review.
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.
• Gig-contract.
• 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation.
• Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.
• Medical insurance is provided from day one. Sick leaves and medical leaves are available.
• Remote working mode is available within Ukraine only.
• Free meals, fruits, and snacks when working in the office.

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 a pioneer in the field of identity data solutions, is revolutionizing how businesses confidently identify their customers and prospects across multiple touchpoints. Whether it’s through websites, applications, or physical locations, they provide innovative ways for their partners to interact with and understand their audiences.

We are looking for a Senior Backend Engineer to help scale a high-throughput, real-time bidding
platform that sits at the core of our header-bidding and identity products. You will design and
operate Go services that handle very high request volumes with tight latency budgets, working
close to the auction path where milliseconds and correctness both matter.
This is a hands-on engineering role on a fast-growing product. You will own services end to end
— from design and implementation through deployment, observability, and on-call — and
collaborate with product, QA, and business-development colleagues to ship integrations with ad-
tech partners and demand/supply platforms.

Key Requirements:

🔹Strong, production-level experience writing backend services in Go (Golang), including the concurrency model, profiling, and performance tuning (7+ years of commercial Go experience required).
🔹Demonstrable experience with header bidding — ideally hands-on with Prebid (Prebid Server adapters, modules, RTB, or comparable auction-side work).
🔹Experience building and operating high-throughput, low-latency distributed systems in production (must-have).

🔹Solid grasp of HTTP/REST, JSON, and server-to-server integration patterns, plus debugging across the request lifecycle.
🔹Strong experience with cloud infrastructure, primarily AWS (must-have). Experience with Azure and/or GCP is a strong advantage.
🔹Comfort with relational databases (e.g. MySQL / Aurora), including basic observability and deployment workflows.
🔹Pragmatic testing habits and a track record of shipping reliable software with good operational hygiene.
🔹Strong debugging and problem-solving abilities.
🔹Experience with CTV/video and post-bid measurement flows.
🔹Exposure to Prebid Server Java or other JVM services (useful for cross-module work).
🔹Experience with Kafka/streaming, Redis or similar caching layers, and container orchestration (Docker/Kubernetes).
🔹Hands-on experience using AI coding assistants (Claude Code, Cursor, GitHub Copilot, Codex, or similar) as part of the daily development workflow.
🔹English – Upper-Intermediate or higher.

What you will do:
🔹 Design, build, and operate high-throughput Go services on the real-time bidding and
header-bidding path, optimizing for latency, reliability, and cost at scale.
🔹 Develop and maintain Prebid integrations — Prebid Server adapters, bidder/identity
modules, and the supporting backend that powers them.
🔹 Build and harden integrations with ad-tech vendors (SSPs, DSPs, identity, and
measurement partners), including pixel, post-bid, and server-to-server flows
🔹 Profile and tune hot paths: concurrency, memory allocation, connection pooling, caching,
and request fan-out under high QPS
🔹 Own services through their full lifecycle — instrumentation, dashboards, alerting, and
participation in the on-call rotation.
🔹 Partner with product, QA, and business development to scope new partner integrations and
turn requirements into reliable, well-tested code.
🔹 Contribute to architecture decisions, code reviews, and engineering standards across the
Bidfusion team

Interview stages:
🔹 HR Interview;
🔹 Technical Interview;
🔹 Final interview;
🔹 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.

OneTablet helps restaurants sell more across Glovo, Bolt, DoorDash, Uber Eats, Grubhub and others — we optimize platform algorithms, enhance menus with AI, and expand sales surface so restaurants make more money, measurably, in dollars. We're a small senior team shipping fast with real customers. We build AI-first: agents, MCP servers, autonomous workflows — not as a gimmick, but as how we actually work. We're looking for a strong fullstack engineer who already develops this way and understands that AI shifts the role toward more product thinking and ownership, not less engineering.

What you'll do

• Build and own product features end-to-end (backend + frontend)
• Design business logic and workflows used daily by restaurants
• Work with GraphQL APIs and build React-based UI focused on clarity
• Use AI deeply in daily work — agentic workflows, not just autocomplete
• Collaborate closely with product and design
• Improve development practices and push what's automatable

What we expect

• Strong full-stack: Node.js / TypeScript + React + GraphQL in production
• UX sensitivity — you care how things feel
• AI is your default development mode (Claude Code, Cursor, or similar) — deep usage, not surface-level
• Product sense — you think about what to build, not just how
• High ownership: you ship, you fix, you improve
• Startup / small team experience

Nice to have

• Experience building AI agents, MCP servers, or autonomous dev workflows
• Dashboards, admin tools, B2B products
• GCP, PostgreSQL, React Native

How we work

Small senior team · High trust, high ownership · Fast decisions, short loops · You build it → you own it

What you'll do
 

• Take a business problem and deliver a working product — spec, decomposition, implementation, testing, release
• Run multiple parallel agent sessions across projects; manage context, worktrees, and merges
• Write PRDs, use cases, and test cases that agents can actually execute against
• Define and build the team around this model — decide which roles are actually needed, write the profiles, interview, and onboard.
• Own the review layer — decide what gets reviewed by agents, what needs a human, and who that human is. Set the standard for what "validated" means before something reaches production
• Pick up projects currently stuck in the backlog and prove they can be delivered without a development team
• Extend our existing systems where we've hit a ceiling — BD tooling, data science workflows, internal automation, our meeting/insight memory bank

What we're looking for
Required
 

• Track record of managing people or projects — you're comfortable defining work and holding others to it
• Demonstrated agentic delivery: you've shipped something real with Claude Code or an equivalent harness, not just used AI for autocomplete
• Strong decomposition and context management — you know how much context an agent needs and how to give it
• Broad applied expertise in some domain (trading, fintech, ops, infrastructure, data — we're open). Depth in one narrow stack matters less than range
• Fluent working English, including when prompting

Nice to have
 

• Your own SDLC harness or workflow you've refined and reused
• Comfort with GitHub as issue tracker and CI surface, automated E2E testing
• Experience with LLM observability and prompt analysis
• Blockchain or staking context (we run a small surface: staking, cashback calculation, a few light smart contracts)

Not a fit if
 

• Your goal is to go deeper into hands-on coding as a craft
• You expect a spec handed to you rather than one you write
• You treat agent errors as evidence the approach doesn't work rather than as your problem to solve

About the Role

We are looking for a Senior, hands-on Agentic AI Specialist to design, build, deploy, administer, govern, and support enterprise AI agents across the Microsoft ecosystem.

The role combines AI-agent development, Microsoft platform engineering, solution architecture, governance, and production support. You will own the full agent lifecycle - from architecture and development through testing, deployment, monitoring, support, continuous improvement, and retirement.

The ideal candidate is not only an AI developer, but a hands-on technical specialist who can design enterprise AI solutions, build them using Microsoft technologies, integrate them with business systems, and ensure they are secure, governed, reliable, and production-ready.

This is a full-time (100%) position for an initial six-month period, with the possibility of extension.

Key Responsibilities

AI Agent Development & Solution Architecture

• Design, build, test, deploy, and support enterprise AI agents using Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry (formerly Azure AI Foundry), Power Platform, and Dataverse.
• Develop both low-code and custom AI-agent solutions, including multi-step workflows and agentic applications.
• Integrate agents with Microsoft Graph, SharePoint, Teams, Dataverse, APIs, Azure services, and enterprise applications.
• Design reusable technical patterns, architectures, guardrails, and implementation standards for enterprise AI solutions.

• Optimise AI solutions for reliability, performance, security, and business value.

   

  Microsoft AI Platform Administration

• Administer and support Microsoft 365 Copilot, Copilot Studio, Agent 365, Power Platform, and related services.
• Manage agent configuration, permissions, publishing, monitoring, connectors, gateways, environments, and lifecycle processes.
• Support the organisational Agent Store and agent catalogue.

• Maintain operational documentation, administration procedures, and support runbooks.

   

  AI Governance, Security & Lifecycle

• Establish practical governance standards covering agent design, testing, evaluation, approval, publishing, monitoring, versioning, support, and retirement.
• Implement appropriate security, access-control, data-protection, compliance, and responsible-AI practices.

• Establish processes and guardrails that enable business teams to adopt AI agents safely and consistently.

   

  Production Support & Operations

• Provide hands-on L2/L3 support for AI agents, Copilot, Power Platform, and related Microsoft services.
• Troubleshoot platform, integration, configuration, access, security, and performance issues.
• Monitor reliability, usage, performance, and operational health of AI solutions.
• Support incident, problem, and change management processes.

• Coordinate technical escalations with Microsoft and other technology providers.

   

  Stakeholder Collaboration

• Translate business requirements into practical technical solutions.
• Work closely with business stakeholders, technical teams, Microsoft, and external vendors.
• Provide technical guidance and help delivery teams and business users adopt AI-agent capabilities.
• Work independently in an international and multicultural environment.

Required Qualifications

Knowledge and Technical Skills

• Strong hands-on experience with Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry / Azure AI Foundry, Power Platform, and Dataverse.
• Strong understanding of agentic AI and generative AI, including agent architecture, orchestration, grounding, tool usage, evaluation, lifecycle management, and responsible AI.
• Experience building both low-code and custom AI agents and integrating them with Microsoft and third-party enterprise services.
• Practical experience with Microsoft Graph, SharePoint, Teams, APIs, Azure services, and enterprise applications.
• Understanding of enterprise AI governance, security, access management, compliance, monitoring, and production support.
• Ability to work across multiple technical areas: solution architecture, development, platform administration, governance, and operational support.
• Experience using AI-assisted development / rapid prototyping approaches while maintaining appropriate engineering, security, and quality standards.
• Strong troubleshooting, analytical, communication, and stakeholder-management skills.

Professional Experience

• 5+ years of professional IT experience in solution design, software development, platform administration, application support, or a related field.
• 2+ years of hands-on experience with Microsoft AI and Power Platform technologies, with strong practical experience in Copilot Studio, Microsoft 365 Copilot, Microsoft Foundry / Azure AI Foundry, and/or Power Platform.
• Proven experience designing, deploying, and supporting production AI agents, chatbots, copilots, or intelligent automation solutions.
• Experience providing enterprise L2/L3 support for business-critical platforms or applications.
• Practical experience with AI governance, agent lifecycle management, or enterprise platform operating models.
• Experience working independently with international stakeholders and technical teams.

Education & Language

• Bachelor's degree or equivalent in Computer Science, Information Technology, Software Engineering, Data Science, or a related field.
• Fluent English, both written and spoken.

Nice to Have

• Microsoft Agent 365 and/or Copilot Cowork experience.
• CI/CD for AI and Power Platform solutions using Azure DevOps or similar tools.
• Experience with Semantic Kernel, LangChain, Microsoft Agent Framework, or other agent orchestration frameworks.
• Experience with n8n or similar workflow automation platforms.
• Experience in large enterprise environments or international organisations.
• Relevant Microsoft certifications such as AI-102, MS-102, PL-200, PL-400, PL-600, Microsoft 365 Copilot certifications, or ITIL Foundation.
• Master's degree in a relevant field.

About the Client

Our client is a fast-growing deep-tech startup building advanced solutions for monitoring large-scale critical infrastructure. Their technology combines innovative fiber-optic sensing with machine learning to turn existing optical fiber into a real-time distributed sensor, helping monitor infrastructure such as power grids, pipelines, railways, roads, and other critical assets.

They are building a scalable, cloud-native platform designed to solve real-world, high-impact problems. Their culture is product-driven, fast-paced, and ownership-oriented. They value strong engineers who think like builders, move fast, and care deeply about quality.

We are looking for a Senior AI-Integrated Full Stack Engineer to join our client’s applications engineering team. You will play a key role in designing, building, and scaling their platform end-to-end — from intuitive frontend experiences to robust backend services and cloud infrastructure.

What You’ll Do

* Design and implement scalable, high-performance web applications end-to-end

* Be part of an intensive transformation to modern AI work methodology using the latest AI models.

* Architect backend services and APIs and build modern, responsive frontend applications.

* Be part of complex technical discussions with the ability to contribute a major part to the discussion and decisions.

* Own features from concept to production

* Optimize performance, reliability, and security across the stack as well as promote engineering best practices

What You Bring

* 5+ years of experience as a Full Stack Developer.

* Proven experience in development using AI as the main working tool.

* Proven experience with the relevant technologies and frameworks.

* Strong understanding of system design (experience with Chakra UI is an advantage), scalability, and cloud architecture

* Proven experience working with AWS in production environments

* Fluent in English and strong communication skills.

* You embrace change and learning on the go.

* Experience working in startup or fast-paced environments.

* Strong problem-solving skills and ownership mindset.

Our Client’s Tech Stack

* Full stack: Next.js, NestJS (Typescript)

* System design: ChakraUI

* Infrastructure: Kubernetes, Docker, CI/CD pipelines

* Database: SQL / NoSQL (depending on service)

* Cloud: AWS (Lambda, ECS/EKS, S3, RDS, etc.)

AI & Modern Engineering Expectations

Candidates must be proficient and up-to-date with the latest AI advancements, actively using AI-powered development tools (like Claude Code, Code Rabbit, or similar) to accelerate development, enhance code quality, and innovate product features where AI adds user value.

Nice to Have

* Experience with Spec-Driven-Development and methodologies to support full AI embracement

* Experience designing and developing microservices architecture.

* Experience with Python and Dash.

* Background in performance optimization and distributed systems

A portfolio or samples of your video, design, or writing work (even informal) are strongly encouraged with your application.

About Impactable Impactable is a fast-growing, LinkedIn-centric B2B marketing agency helping mid-market companies drive revenue through data-driven, multi-channel strategies. We're globally distributed across the U.S., Ukraine, and Serbia.
 

Position Overview This role produces high-quality video, copy, and design assets for our clients, working closely with the Content Strategy Lead to keep every deliverable polished, on-brand, and performance-optimized. Ideal for early-career creatives eager to grow — high performers typically move to Content Specialist within 12–18 months.

Key Responsibilities

Content Production

• Edit short-form videos and audiograms (Descript); upload final assets to Ordinal
• Produce branded graphics/carousels using Canva templates
• Write and refine LinkedIn post copy with strong hooks, CTAs, and audience relevance
• Use AI tools to align content with each client's tone of voice

Quality Control

• Proof deliverables for grammar, accuracy, and formatting
• Apply brand guidelines, client preferences, and LinkedIn B2B best practices
• Follow accessibility best practices (captions, readability)
• Apply design principles across graphics and video
• Follow the Content Evaluation Rubric, targeting "Exceptional" quality

Workflow & Collaboration

• Manage tasks via ClickUp and meet deadlines
• Flag blockers early; apply feedback promptly to reduce revisions
• Send client posts for approval at least one week before posting
• Produce monthly client reports; attend bi-weekly team meetings
• Escalate execution questions to the production team leader

Continuous Improvement

• Learn new tools/processes; share efficiency ideas in team syncs
• Apply insights from monthly reporting to future content
• Spot opportunities for stronger angles or framing in existing content

Success Metrics

• 95%+ of assets delivered on time
• <10% of deliverables need major revisions
• 4.5+/5 internal CSAT from strategist partners
• Growth in 2+ competency areas per quarter

Required Skills

• 3+ years video editing
• 2+ years graphic design
• Upper-Intermediate English (written & spoken)
• Ghostwriting/B2B copywriting experience
• PM tool experience (ClickUp, Asana, or Jira)
• Strong attention to detail, time management, and independent execution
• Familiarity with AI tools (ChatGPT, Jasper, Claude)
• Canva and Google Workspace proficiency (nice to have)

Desired Skills

• B2B marketing / LinkedIn content knowledge
• Basic motion design or audio editing
• Social media analytics understanding
• Agency or fast-paced creative environment experience
• Descript, Adobe, or Final Cut knowledge
• Bachelor's in Marketing, Graphic Design, or Communications (preferred, not required)

Benefits

• 11 paid holidays per Ukrainian calendar
• 14 PTO days + 7 sick days annually (accrued after 90-day intro period)

Logistics

• Preferred location: Ukraine
• Monthly compensation: $1100-$1500net
• Working hours: 11:00 - 20:00 Kyiv time 
• Reports to: Content Strategy Lead
• Full-time, fully remote
• Candidates should have their own workstation/hardware for the role
• Dedicated onboarding mentor for your first months
• Real growth opportunities — we’re actively building out team lead and management roles as we scale
   

Middle Developer

Role Description

We are looking for a Middle Software Developer to join our R&D team and contribute to the development of innovative products and technologies. In this role, you will participate in the full software development lifecycle, from researching and validating new ideas to implementing, testing, and supporting production-ready solutions.

The ideal candidate is capable of independently delivering medium-complexity features, taking ownership of their work, and proactively proposing improvements to products and development processes. You will collaborate closely with Product Owners, engineers, and other stakeholders to transform business and technical requirements into reliable software solutions.

This position requires a strong engineering mindset, a passion for learning new technologies, and the ability to rapidly build prototypes and proof-of-concepts using modern development tools, including AI-assisted technologies. You will be expected to contribute not only through coding but also through technical discussions, code reviews, and continuous improvement initiatives.

Main Responsibilities

• Full-time participation in product development
• Research and evaluate new technologies, frameworks, and implementation approaches
• Develop prototypes and proof-of-concepts for new ideas and use cases
• Design and implement new features using modern technologies and best practices
• Maintain and support developed features throughout their lifecycle
• Write clean, maintainable, and efficient code
• Participate in code reviews and provide constructive feedback
• Investigate and fix defects and production issues
• Collaborate with Product Owners, QA Engineers, Designers, and other stakeholders
• Contribute to technical discussions and architecture decisions

• Create and maintain technical documentation where necessary

   

Required Skills

Programming Languages

• Strong proficiency in C#

• Good proficiency in TypeScript

   

Software Development

• Understanding of object-oriented design principles (SOLID)
• Experience with modern software development practices
• Knowledge of design patterns and when to apply them
• Experience with REST APIs and client-server architectures
• Ability to troubleshoot and debug complex issues

• Understanding of software testing principles

   

DevOps & CI/CD

• Understanding of CI/CD pipelines and automated deployments
• Experience using Git and common branching strategies

• Familiarity with build and release processes

   

AI & Rapid Prototyping

• Experience using AI-assisted development tools (ChatGPT, GitHub Copilot, Claude, etc.)

• Ability to rapidly create prototypes and validate concepts

   

Soft Skills

• Strong problem-solving skills
• Proactive mindset and willingness to propose improvements
• Good communication skills
• Ability to work independently with limited supervision

• Ability to estimate and plan own work

   

Nice-to-Have Skills

Programming & Technologies

• Python development experience
• Experience with Angular or React
• Experience with cloud platforms (AWS)
• Understanding of microservices architecture

DevOps

• Experience creating and maintaining CI/CD pipelines
• Infrastructure as Code experience

Embedded & Hardware

• Experience with microcontroller or microcomputer development
• Experience with Raspberry Pi, Jetson, STM32, ESP32, or similar platforms
• Basic electronics and hardware integration knowledge

Additional Advantages

• Experience with Agile/Scrum methodologies
• Experience mentoring junior developers
• Technical writing/documentation skills

What We Offer:

• Official employment with full compliance with Ukrainian labor law and all associated benefits
• Military service reservation (deferment)
• Flexible working hours within a standard Monday–Friday schedule (10:00 AM–6:00 PM)
• A modern and comfortable office in Vinnytsia
• A supportive team and a stable, long-term opportunity.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk. 

The project

You will own the development of a capability for scientific models - a custom application we are building on the Datagrok platform for one of our pharma customers. It's a central place where scientists register, discover, run, and compare computational models. Models come from different teams, in different languages, with different inputs and outputs. Your job is to turn that into one coherent, fast, self-service experience.

This is not a ticket-driven role. You will "sit" with the customer's scientists, understand how they work, and translate that into working software.

Responsibilities:

• Develop clean, high-performance, well-documented, production-level code
• Own your backlog: prioritize, estimate, communicate status, and drive features from a conversation to production
• Talk directly to the scientists and computational modelers: run demos, gather requirements, challenge assumptions, propose better ways to solve their problems on the platform
• Contribute improvements back to the platform and public plugins where the project uncovers gaps

Requirements:

• Expert-level TypeScript: you've designed and shipped non-trivial TS applications or libraries in pre-LLM era
• Engineering range: building elegant solutions from scratch, evolving complex existing codebases, and contributing efficiently across the whole stack, UI to backend
• Past projects in scientific or life-sciences software, complex modeling, or scientific computing (e.g., simulation engines, computational tools, statistical modeling apps, numerical/HPC code, etc.)
• Fluent spoken and written English: you will be in customer-facing meetings weekly, presenting your work and negotiating scope with scientists
• Willingness to learn new scientific domains
• Demonstrated ability to self-manage: you've owned a project or major workstream end-to-end and can point to something that shipped because you drove it to completion

Nice to have:

• Scientific background (STEM / life sciences)
• Python, R, C++, or Julia (enough to read and integrate scientists' model code)
• Experience with ML development and/or model lifecycle tooling (model registries, MLflow-style tracking, workflow engines)

We offer:

• Fully remote work
• Excellent growth opportunities in a highly dynamic, unique product company
• Zero bureaucracy
• Paid trainings and certifications
• Competitive compensation

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 a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes.
Our solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Our client automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have.
Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to help build a cutting-edge SaaS product at scale and shape how we deliver software in an AI-native way

We’re looking for an experienced engineer who is ready to move beyond traditional software development and take full ownership of product delivery. This is not a classic backend engineering role. As a Builder, you’ll be responsible for delivering
features from idea to production by orchestrating AI agents, making technical decisions, collaborating closely with Product, and owning the final outcome.

What makes this role different
🔹You may not write every line of code yourself, but you are accountable for all of it — the AI-generated code is your code, and its quality is your responsibility.
🔹AI agents become part of your engineering team, but you own every architectural and technical decision.
🔹You partner with Product on the what and own the how — the technical execution and delivery.
🔹Success is measured by shipping high-quality features, not by the amount of code you write.
🔹You’ll have end-to-end ownership across backend, frontend, QA, and automation while working closely with Product to bring ideas into production

Key Requirements:

🔹BSc in Computer Science or equivalent.
🔹Senior-level engineer, typically 7+ years building and shipping production software end-to-end — with the depth of experience to make sound technical calls and recognize when AI-generated output is subtly wrong.
🔹Strong Python (including Django) and system design fundamentals, with proven expertise building scalable systems on cloud architecture in a SaaS environment and the judgment to make architectural decisions and evaluate trade-offs independently.
🔹 Solid understanding of async programming, REST APIs, microservices, and testing — enough to read, review, and validate implementations, not just write them yourself.
🔹Hands-on experience with AI coding tools (Claude Code, Cursor, Codex, GitHub Copilot, or similar) and building AI-native workflows, with the ability to review, challenge, and improve AI-generated output rather than relying on it blindly.
🔹Strong hands-on experience with PostgreSQL and relational databases — proven experience configuring, managing, and optimizing large-scale databases, working with high volumes of data, and ensuring performance, scalability, and reliability in production environments.
🔹 Strong product mindset — able to balance technical and business priorities, thrive in ambiguous, fast-moving environments, and take full ownership of outcomes.
🔹 Exceptional communication skills and high proficiency in English (Upper-Intermediate or higher) — you’ll partner directly
with Product and own the technical execution.

Will be plus:

🔹Understanding of CI/CD pipelines and IaC tools (Terraform, Helm) — enough to decide what the system needs and evaluate what an agent produces.
🔹Familiarity with Celery orchestration, event-driven architectures, or streaming frameworks (RabbitMQ).
🔹Exposure to modern frontend, QA automation, or full-stack environments.
🔹Experience working in product companies or startups.

What you will do:

🔹Own features end-to-end, from initial requirements to production and monitoring.
🔹Partner with Product to turn requirements into clear execution plans — Product owns the what, you own the how.
🔹Orchestrate AI agents across development, QA, and automation.
🔹Review, validate, and improve AI-generated code and solutions.
🔹Make architectural decisions, define data models, and optimize system performance.
🔹Ensure high quality throughout the entire delivery lifecycle.
🔹Own a feature area while contributing across other areas when needed.
🔹Collaborate directly with engineering and product teams to continuously improve delivery

Interview stages:

🔹HR Interview;
🔹Background interview — 1 hour
🔹Design interview — 1 hour
🔹Technical interview — 1.5 hours
🔹Interview with VP R&D (optional);
🔹References;
🔹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.

Description

This is a Product Development project which was started by GlobalLogic from scratch. As modern engineering transitions into the AI era, we are seeking an AI SDLC Senior Manager to lead our delivery organization, drive AI-driven software development lifecycle (SDLC) transformations, and scale team productivity.
This product is a customized end-to-end BI solution for Financial KPIs tracking. AI functionality, AI SDLC (OpenAI framework), AWS Cloud and cutting-edge technologies. More details will be shared in an interview. Product Management, Architecture redesign and definition of Development processes are on the team’s side. End-to-end accountability for delivery lies with the GL team.
AI SDLC Senior Manager will handle delivery of this FinTech product and own a full set of tools to ensure successful Delivery.

#LI-MP2
#LI-Remote

Requirements

Experience & Scale

• 8+ years of progressive project / program management experience in software delivery.
• Proven track record of directly managing software delivery organizations of 30+ team members.
• International Delivery: Extensive experience managing enterprise business and technical stakeholders across North America and Europe.

AI & Technical Competency

• Deep understanding of Agentic AI concepts and their practical integration into team workflows.
• Strong grasp of modern cloud architectures (AWS), enterprise BI architectures, and modern software development methodologies.
• Familiarity with hands-on AI development tooling (e.g. Codex, GitHub Copilot, Claude Code).

Leadership, Process & Soft Skills

• Advanced mastery of Scrum and scaled Agile frameworks, specifically adapted for AI-era execution.
• Demonstrated competency in product management principles and cross-functional alignment.
• Hands-on budget management experience.

Languages: Professional fluency in both English and Ukrainian.

Education: Master’s Degree (MS) or higher in Computer Science, Engineering, or a related field.

Job responsibilities

AI SDLC Leadership & Strategy

• Drive, optimize, and scale the organizational transformation toward an AI-integrated Software Development Life Cycle (AI SDLC).
• Design and implement modern Agentic AI workflows across engineering teams to maximize delivery speed and quality.
• Evolve traditional Agile/Scrum methodologies to align with modern AI-era engineering practices.

Delivery & Operational Governance

• Maintain full accountability for end-to-end Agile program delivery, quality outcomes, and financial/budget management.
• Oversee product development processes, architectural transitions, and release cadence for a FinTech BI platform.
• Define and track key metrics to measure the efficiency and productivity gains of AI workflows.

Stakeholder Management & Team Leadership

• Lead, mentor, and grow a multi-disciplinary team of 30+ software engineering professionals.
• Manage high-level relationships with cross-functional technical and business stakeholders across North America and Europe.
• Align closely with Product Management leadership to ensure seamless integration between delivery roadmaps and product vision.

Our Customer:

Our client is a global technology company developing an advanced cloud platform for AI-powered voice communication. Their product enables organizations to build, integrate, and deploy intelligent voice services by combining modern AI technologies, large language models, and enterprise-grade communication infrastructure. The engineering team focuses on creating scalable, cloud-native SaaS solutions that process real-time interactions while maintaining high performance, reliability, and security.

Your tasks:

• Design and develop new product features across both backend and frontend components.
• Build scalable backend services using modern .NET technologies.
• Develop responsive Single Page Applications using the latest React ecosystem.
• Design and integrate REST and GraphQL APIs.
• Work with relational and NoSQL databases while ensuring data consistency and performance.
• Participate in designing microservices-based architecture and distributed systems.
• Collaborate with product managers, architects, and other engineers throughout the entire development lifecycle.
• Leverage AI-assisted development tools (such as Claude, GitHub Copilot, etc.) to improve productivity while maintaining full
• ownership and understanding of the implementation.
• Write clean, maintainable, and well-tested code following modern engineering best practices.
• Contribute to architecture discussions, code reviews, and continuous product improvements.

Required experience and skills:

• 3+ years of commercial experience in Full Stack development.
• Strong experience with modern C#, .NET Core, and ASP.NET Core.
• Solid hands-on experience with the latest versions of React, including Functional Components, Hooks, and modern state management.
• Experience building Single Page Applications (SPA).
• Strong knowledge of Entity Framework.
• Experience designing and developing microservices-based applications.
• Practical experience with REST APIs and GraphQL.
• Experience with SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB, or similar).
• Good understanding of asynchronous programming, distributed systems, and cloud-native application development.
• Experience using AI-assisted development tools (Claude, GitHub Copilot, or similar) as part of the software development workflow.
• Ability to explain architectural decisions, coding approaches, and engineering best practices independently, without relying solely on AI-generated code.
• Strong analytical thinking, problem-solving skills, and ownership mindset.
• Experience working in Agile development environments.
• Upper-Intermediate (B2) or higher level of English.

Would be a plus:

• Experience with Docker and CI/CD pipelines.
• Experience with Azure and Azure Kubernetes Service (AKS).
• Knowledge of cloud-native SaaS architecture.
• Experience with high-load or real-time communication systems.
• Familiarity with modern software architecture patterns and system design.
• Experience participating in technical design discussions and architectural decision-making.

Wish to be part of a strong team of professionals and create innovative, AI-powered solutions using the latest Microsoft technologies? Then this opportunity is definitely for you!

LogiqApps is looking for a senior AI engineer to design and build production AI solutions on Azure AI Foundry for enterprise clients. Agents, RAG, orchestration, evaluation, and the integrations that make it hold up in a real environment.

You will work embedded in a client agile team and own the AI architecture within your own workstream. This is a hands-on role, implementation is the main part of the job: designing and orchestrating agents on Foundry, building RAG on enterprise data, and integrating AI capabilities with Power Platform, Dynamics 365, Dataverse and other enterprise systems.

Building on the business application layer itself is handled by other members of the team. Your focus is the AI layer and the integration points into it.

Start: September 2026

You will be an ideal candidate if you have:

• Production experience with Azure AI Foundry: model deployment, agent development, evaluation, monitoring, cost control (must have)
• RAG on Azure AI Search: vector and hybrid search, chunking and embedding strategy, grounding and citations (must have)
• Agent orchestration patterns: tool use, context and state handling, structured outputs (must have)
• Systematic work on answer quality: evaluation sets, retrieval tuning, and the ability to show what you changed and what it improved (must have)
• Hands-on Python
• CI/CD and environment management with Azure DevOps or GitHub Actions
• Ability to explain architectural decisions to both technical and non-technical stakeholders
• Fluent English, comfortable working in a client team and in agile ceremonies

Plus

• Microsoft Agent Framework or Semantic Kernel
• MCP (Model Context Protocol) implementation
• Azure integration services: Functions, Logic Apps, REST APIs, messaging
• Dataverse as a data and integration layer: Web API, virtual tables, Power Automate triggers
• Copilot Studio agents extended toward Foundry agents

Certifications

AI-102, AZ-305 or AZ-204 is a plus.

Why is this role unique?

• Opportunity to work with the latest Microsoft AI technologies
• Challenging enterprise projects with international clients across different industries
• Close collaboration with experienced Microsoft consultants, architects, and AI specialists
• Real opportunity to influence technical decisions and deliver innovative AI-powered business solutions
   

Why join LogiqApps?

• Experienced and collaborative team with strong Microsoft expertise
• Exciting international projects using the latest Microsoft technologies
• Flexible remote working environment with a healthy work-life balance
• Continuous learning through certifications, training, conferences, and knowledge sharing

• A supportive culture where your ideas matter, and you have the freedom to take ownership of your work

   

At LogiqApps, we believe in collaboration, continuous learning, and building technology that creates real business value. If you're passionate about Microsoft technologies and AI, we'd love to hear from you!