Skip to content
AI Engineer Jobs

GenAI Engineer | Hungary

Deloitte

Location
Hybrid (Budapest, Central Hungary)
Employment
Full-time
Level
Mid Level
Posted 2 weeks ago

About the role

Deloitte is seeking a GenAI Engineer to build and maintain reliable agentic systems, including RAG workflows and tool-using pipelines, within its AI & Data Engineering team. The role focuses on shipping production-grade solutions with strong emphasis on quality, observability, and secure integration of data and models.

Skills

Python GenAI RAG LangGraph LangChain PydanticAI CrewAI FastAPI Azure AI Search Pinecone Vector search MCP LangSmith Langfuse Datadog Azure OpenAI

Perks

  • Hybrid work
  • Career development
  • International environment

Full job details

Description & Requirements

Who we are looking for

🎯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 
Your future role
🚀 What you will build:

  • Agent workflows with LangGraph / LangChain / PydanticAI / CrewAI (routing, retries, fallbacks, timeouts, human-in-the-loop).
  • Tool calling that doesn’t break: APIs, databases, and internal services with clean contracts, predictable behavior, and safe error handling (retries/timeouts, idempotency, rate limiting).
  • Hybrid systems: pre-built agents plus a thin custom orchestration layer (interfaces, policies, guardrails, reuse).
  • MCP integrations: implement MCP servers/clients so models can safely access tools/data (DBs/APIs/files) using least-privilege patterns and audit-friendly logging.
  • RAG + knowledge systems: chunking, embeddings, indexing, retrieval strategies, grounding patterns; vector stacks like Azure AI Search, Pinecone, Redis Vector, Milvus/Chroma; doc ingestion with Azure Document Intelligence.
  • Real use cases:
    • Talk2Data (safe querying + interpretation of enterprise data)
    • Talk2Document (Q&A/summarize/extract/reason over docs with citations/grounding)
  • Evaluation + observability: automated evals (task success, groundedness/relevance, safety, latency, cost), regression suites, and run tracing for debugging using LangSmith / Langfuse / Datadog.
  • Cloud GenAI: Azure OpenAI / Azure AI Foundry + Azure AI Search / Document Intelligence / Content Safety. AWS/GCP equivalents welcome (Bedrock/Vertex AI + search/document pipelines).
What we offer
  • A global network + a strong regional AI&D community (~160 people).
  • A dedicated technical team that’s actively growing and open to experimenting with new tech (when it actually helps).
  • Consultancy work, but on real problems with real impact - solutions people use. 
  • Specialize in specific areas where we are committed to support the learning process and obtaining internationally recognized certificates
  • Hybrid way of work
  • International environment where personal development and growth are supported and highly encouraged
  • Unique opportunity for a career and promotions

General Information

Position
GenAI Engineer | Hungary
Work arrangement
Full-time
City
Budapest
Country
Hungary
Department
Consulting
Team
Engineering, AI & Data
Area of interest
AI - Artificial Intelligence, Cloud, Consulting, Data & Analytics, Engineering
Way of work
Hybrid