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The position blends hands‑on technical leadership with close collaboration with product teams, occasionally contributing to customer‑facing AI features that later evolve into shared platform services.
Responsibilities • Lead end‑to‑end design and delivery of core AI Platform services, from ambiguous requirements through production, including evaluation pipelines, agent and MCP infrastructure, and observability tooling • Architect solutions with performance, scalability, security, and testability baked in from the start • Partner with product teams to build customer‑facing AI features where needed, then platformize the patterns that prove valuable • Shape the team's technical roadmap, influencing technology selection and build‑versus‑buy decisions • Own operational excellence - reliability, observability, capacity planning, deployment strategy, and blameless postmortems - for the services you build • Mentor other engineers through design reviews, code reviews, and technical guidance Requirements • 7+ years of experience building and operating backend distributed systems at scale in production • Hands‑on experience with LLM‑powered systems, such as model API integration, retrieval or agent architectures, evaluation pipelines, or LLM observability • Demonstrated success leading projects of moderate‑to‑high complexity end‑to‑end, including coordinating the work of other engineers • Strong coding skills in a mainstream backend language (Python or Java) and solid experience with Kubernetes and cloud infrastructure • A product mindset, with experience building customer‑facing features and translating user and customer needs into technical decisions Nice to have • Experience in cybersecurity or another regulated, high‑trust domain • Experience building or operating MCP servers Benefits and work setup • Hybrid work in Prague (Karlin) or Brno, or remote within CZ/SK, with Prague‑based employees expected in the office at least two days per week • Standard five weeks of paid time off plus flexible time off, paid wellness days, and fully paid short‑term sick and nursing leave • Gender‑neutral parental leave • Private medical care, life and disability insurance, pension contributions, and global business travel medical insurance • Employee Assistance Program access • Restricted Stock Units, an Employee Stock Purchase Plan, and a performance‑based bonus • Home office allowance, meal allowance, wellness allowance, and a multi‑sport benefit program Role overview This staff-level engineering role leads the design and delivery of a new AI Platform whose mission is to accelerate AI feature delivery while keeping security, cost, and quality bars high.
Core services - agent and Model Context Protocol infrastructure, evaluation pipelines, and AI observability - are foundational to every AI capability the organization ships.
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