AI Full-Stack Developer

• 5+ years of experience working as a Full-Stack Developer
• Strong programming skills in Python, TypeScript, JavaScript, and React.
• Experience building backend services and API integrations.
• Practical experience with LLM APIs or AI-based services.
• Strong familiarity with AI developer ecosystems.
• Proven ability to use AI-assisted coding tools effectively.
• Ability to work independently and efficiently.
• Familiarity with workflow automation systems or distributed architectures.

• Experience building AI agents or multi-step AI workflows.
• Experience with prompt engineering or LLM orchestration frameworks.
• Experience integrating with enterprise systems or internal business tools.
• Familiarity with event-driven architectures, queues, and task orchestration systems.
• Experience in teaching non-technical users how to utilize developed systems effectively.

• Competitive compensation
• Career growth and learning opportunities
• Flexibility and ownership
• Collaborative and innovative culture
• Opportunity to work on impactful AI projects
• International environment and talented teams

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

We are seeking an AI Full-Stack Developer to build and scale automation solutions across internal company processes using AI, LLMs, and agent-based systems. This role focuses on delivering practical automation solutions, integrating AI capabilities with internal tools, and orchestrating workflows across multiple systems, with a dynamic range of tasks that offer both quick wins and complex challenges.

• Build AI-driven automation solutions using LLMs, APIs, and agent frameworks.
• Develop systems to automate document processing, data extraction, and operational workflows.
• Design and implement multi-step automated workflows connecting AI models and internal services.
• Integrate automation solutions with internal systems such as HR, finance, legal, dashboards, and ticketing tools.
• Deliver and iterate practical automation solutions swiftly, from simple GPT/AI integrations to complex workflows.
• Train and support internal teams on newly built or optimized systems for strong adoption and self-sufficiency.
• Collaborate with Technical Team Lead, Product Manager, and IT teams on architecture and system integration.
• Communicate clearly with internal stakeholders and external partners or vendors.

Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI