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Lead/Senior AI FullStack Engineer

Nix

Europe; Ukraine (Europe, Ukraine) Remote permanent

Posted: April 24, 2026

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Quick Summary

Design and develop scalable and reliable AI models for autonomous vehicle navigation, ensuring seamless integration with our global client's platform. Strong expertise in AI, cloud computing, and software engineering is required. Proficiency in Python, TensorFlow, and PyTorch is a must.

Job Description

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal is to enable autonomous engineering at scale, starting with SDLC automation and expanding further: humans steer, agents deliver.
This is a greenfield environment. A dedicated team will build an end-to-end platform on AWS, integrating with internal systems and delivery processes. The target is for 10–20% of JIRA stories to be handled through fully autonomous delivery within 12 months.

We are looking for a self-driven Full-Stack Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is a proactive role - you are expected to identify problems, propose solutions, and drive them independently.
In addition to engineering, ~10% of your time will involve working with internal delivery teams: understanding their SDLC processes, identifying friction points, and feeding insights back into the platform. You will also support adoption by explaining and promoting the solution across teams.

Must-Have Requirements:

• 5-7+ years of full-stack software engineering experience.

• Hands-on experience with agentic coding tools (e.g. Claude Code, GitHub Copilot, Codex, Cursor) and an understanding of how they work underneath: model APIs, tool calling, agent loops, context management.

• Understanding of LLM API and tool-use patterns: function calling, tool orchestration, and the ability to integrate AI models programmatically, not just through existing UIs.

• Ability to evaluate trade-offs between off-the-shelf agentic tools and custom API-based implementations.

• Genuine enthusiasm for and an informed opinion on where agentic tooling is heading.

• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.

• Solid Java and React experience (primary stack) OR Python with any modern frontend framework.

• Proactive, self-driven mindset, able to work independently without detailed instructions.

• Hands-on AWS experience is a strong plus.

• Strong communication skills in English (B2–C1).

• Comfortable working in greenfield environments with evolving requirements.

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).

• Camunda experience specifically is a significant advantage given the current architectural direction.

• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.

• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Proactive and self directed, drives outcomes without waiting for direction.

• Comfortable with ambiguity, makes pragmatic decisions when the path is not fully defined.

• Strong technical communication, effectively collaborates with peer engineers to understand domain context.

• Forward thinking, stays current with the AI and agentic tooling landscape and brings new ideas.

• Energized by transforming software delivery, not just a participant but a believer.

We offer*:

• Flexible working format - remote, office-based or flexible

• A competitive salary and good compensation package

• Personalized career growth

• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)

• Active tech communities with regular knowledge sharing

• Education reimbursement

• Memorable anniversary presents

• Corporate events and team buildings

• Other location-specific benefits

*not applicable for freelancers

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