Senior GenAI Engineer | PragueVerified as a real position

Who we’re looking for

• 2+ years as a AI Engineer (or equivalent) with a strong focus on Gen AI implementation; 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 is required

What you’ll do

• 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).

About the position

🎯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.

Benefits

• 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
• Specialization in GenAI and adjacent areas, with strong support for continuous learning and obtaining internationally recognized certificates.
• Hybrid way of work in a modern Prague office.
• International environment where personal development and growth are supported and highly encouraged.
• Unique opportunity for a long‑term career and promotions within Deloitte.
• Attractive and competitive salary, including a wide range of fringe benefits:
• Annual performance bonus rewarding excellence and dedication.
• Flexible benefits package via cafeteria system (meals, pension, sports, culture, and more).
• Extra time off, including additional vacation and sick days.
• Health, travel and life insurance to support your wellbeing and peace of mind.
• Support during important life events, such as illness or parental leave.
• Professional development through internal and external trainings, cloud partner certifications and mentoring.
• Access to sports, wellbeing and social activities, plus a friendly, inclusive team culture.
• ✨ Professional Growth – Continuous learning with access to trainings (Azure, GCP, AWS, Databricks), free certifications vouchers and business udemy.com subscription, and mentorship
• 💰 Attractive Package – Competitive salary, performance bonuses, meal vouchers, extra vacation days, and flexible benefits.
• 🌍 International Projects – Work with leading companies across Europe and beyond.
• 📈Career Development – Clear paths for advancement into senior consultant and manager roles.
• 🏢 Modern Workplace in Prague – Hybrid working model with a centrally located office.
• 🎉 Culture & Community – Friendly, diverse teams, team-building events, and supportive leadership.