Senior GenAI Engineer

Responsibilities:

• Architect and build autonomous multi-agent systems that reason, plan, and execute complex business workflows end-to-end

• Select and orchestrate the right models (commercial and open-source) per use case

• Design the data backbone for agentic solutions: embeddings pipelines, vector DBs, hybrid search, RAG

• Build secure integrations connecting agents to corporate databases, APIs, and enterprise systems

• Own the full production lifecycle: cloud deployment with enterprise-grade observability, monitoring, security, and Responsible AI guardrails

• Lead technical delivery alongside consultants and cross-functional teams; mentor junior engineers

Requirements:

• Min. 6 years commercial experience in Software Engineering or Data Engineering

• Min. 2–3 years hands-on with LLMs / Generative AI

• Strong Python; solid SQL

• Proven track record of building and delivering agentic AI solutions in a commercial setting

• Deep understanding of agentic architecture patterns — able to evaluate trade-offs and guide technical direction

• Hands-on experience with vector databases, chunking strategies, embedding optimization

• Practical knowledge of agentic frameworks (e.g., LangGraph, ADK) and integration protocols

• Cloud experience (AWS, Azure, or GCP); containerization and API tooling (Docker, FastAPI)

• Daily proficiency with AI-assisted development tools (Cursor, Copilot, or similar)

• English B2+/C1

What we offer:

• 100% remote

• Multisport card

• Private healthcare

• Life insurance

• PowerYou platform – e-learning