We are looking for a Senior AI Engineer for one of our significant enterprise projects, who wants to build agent-based AI solutions from architecture to production deployment. You can expect a greenfield project, a wide technological scope, and the opportunity to influence the entire solution – you won't just be implementing assigned tasks, but you will be making decisions about architecture, orchestration, evaluation, and security.
What will you be working on?
- design end-to-end architectures of agent-based AI systems
- convert business processes into autonomous or human-in-the-loop workflows
- work with agent patterns – single-agent, multi-agent, hierarchical, planner/executor
- develop production agents in LangGraph, OpenAI Agents SDK, CrewAI, AutoGen or Semantic Kernel
- implement function calling, structured outputs, and orchestration workflows
- integrate AI solutions via REST API, GraphQL, MCP, databases, and enterprise applications
- design and implement RAG architectures and knowledge pipelines
- work with embeddings and vector databases
- create system prompts, test datasets, and evaluation frameworks
- measure task completion, tool accuracy, hallucination rate, latency, and costs
- deploy and operate AI services in Docker, Kubernetes/OpenShift, or the cloud
- address guardrails, security, auditability, and traceability
- collaborate with Product Owners, Solution Architecture, Software/Data Engineering, Security, UX, and business
- share know-how and mentor less experienced colleagues
What do we need from you?
- 5+ years of relevant experience at a senior developer level
- University degree
- strong programming background – Python, TypeScript/JavaScript or similar language
- advanced knowledge of LLM (GPT, Claude, Gemini, Llama, etc.)
- experience with prompt engineering and function calling
- practical experience with RAG – embeddings, vector search, and vector databases
- experience with at least one agent framework, e.g. LangGraph, OpenAI Agents SDK, CrewAI, Semantic Kernel, AutoGen, LangChain, or LlamaIndex
- Docker, Kubernetes/OpenShift or cloud CI/CD and Git experience
- experience with REST API and databases, ideally PostgreSQL and Redis
- ability to independently navigate a new environment and bring solutions to production
- ability to understand business requirements and communicate with the Product Owner
- English at C1 level and Czech language at C2 level
- Advantageous is architectural knowledge, experience with microservices and testing frameworks, work in a regulated environment, or mentoring.
What can you look forward to?
- the opportunity to build agent-based AI in a production environment
- ample space for personal architectural decisions
- modern technologies from LLM and RAG to Kubernetes and AI evaluation
- senior role with a focus on architecture and mentoring
- an interesting enterprise project with a real impact
- Prague – 2 days onsite per week
- collaboration on business license finance based on experience and agreement