Lead next-gen AI product systems, define agent-native architecture, build autonomous LLM workflows. Collaborate with product teams to deliver AI-driven features end-to-end.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Staff AI Engineer
Location: Hybrid (Prague / Brno, Czechia) + RELOCATION PACKAGE AVAILABLE
Type: Permanent
Stack: Python, Kotlin, LLMs, Pydantic AI, AWS, Kubernetes
About the Role
We are seeking a Staff AI Engineer to lead the architecture of next-generation, AI-native product systems. In this role, you will define agent-native architecture standards, build automated context-infrastructure layers, and design multi-step autonomous LLM workflows (spanning tool use, memory, and orchestration).
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You will work alongside product and design teams to take complex AI-driven features end-to-end—moving from initial idea to validated production deployment at speed.
Key Responsibilities
- Lead the architectural design for agent-native systems, clear API contracts, and context management layers for production AI workflows.
- Develop self-healing workflows, multi-step LLM reasoning features, and systematic optimizations for AI-driven code reviews.
- Build and evolve high-scale backend services using Python, Kotlin, or Java alongside event-driven architecture.
- Prototype 0-to-1 ideas quickly, balancing trade-offs around latency, cost, reliability, and hallucinations in production LLM applications.
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Requirements
- 6–10+ years of core software engineering experience with strong backend foundation in Python, Kotlin, or Java.
- Proven hands-on experience deploying LLM features into real products (prompt design, evaluations, context management, orchestration).
- Solid understanding of distributed systems and event-driven architectures (queues, async processing, service-to-service communication).
- Active daily user of modern AI development tools and agentic workflows.
- Strong Plus: Previous experience as a founding engineer, startup founder, or building agentic multi-step systems from scratch.
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