GenAI Engineer | Hungary
Posted Updated
Description
🎯We’re building agentic systems that do real work in production: tool-using workflows, RAG, structured outputs, guardrails, and measurable quality. If you like shipping and iterating fast - but still care about doing it properly - this is the team.
You’ll work with Solution Architects and LLMOps, but your focus is simple: build the thing, make it reliable, and keep improving it.
🔎What you bring:
- 2+ years as a GenAI Engineer; ideally some NLP background for RAG and Talk2Document work.
- Python-first engineer who can build production APIs/services (FastAPI or similar).
- You’ve built agentic systems with LangGraph / LangChain / PydanticAI / CrewAI (or similar).
- You’re comfortable integrating tools/data safely (timeouts, retries, idempotency, rate limiting).
- You’ve worked with RAG/vector search (Azure AI Search, Pinecone, Redis Vector, Milvus/Chroma).
- You’ve shipped Talk2Data and/or Talk2Document-style solutions (or very similar patterns).
- You care about quality: eval harnesses + regression suites, and you can use LangSmith/Langfuse/Datadog to debug what’s happening.
- Familiar with MCP and secure model-to-tool/data connectivity.
- Bonus: A2A patterns / agent-to-agent coordination.
- Bonus: agent builder frameworks (Azure AI Foundry, AWS Bedrock Agents, Vertex AI Agent Builder, or similar).
- Cloud experience: Azure preferred, AWS/GCP fine.
- EU work permit