Staff Machine Learning Engineer

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Description

Требования: To be successful in this role you have: 7+ years building production software systems with a strong track record on reliability, performance, and scalability Hands-on experience shipping generative AI products — not just integrating LLM APIs or building prototypes, but owning AI-powered features that production users depend on Solid depth in how large language models work: failure modes, context constraints, and how prompt design shapes model behavior at scale Python, Kubeflow,Experience with SageMaker, Vertex AI or AzureML, SQL Practical prompt engineering experience: systematically designing, versioning, and evaluating prompts across model updates or A/B evaluation cycles A real track record in eval engineering — not just familiarity, but a portfolio of evaluation suites designed, shipped, and used to drive quality decisions in production AI systems Cost and efficiency awareness at the system level: experience reasoning about model routing, inference cost, and latency tradeoffs in production Strong software engineering fundamentals: distributed systems, API design, and testing discipline Comfort operating in fast-moving, ambiguous, startup-like AI product environments Nice to Have Experience with multi-agent coordination patterns (A2A, MCP) Familiarity with agent frameworks (LangChain, LlamaIndex, or similar) Prior experience shipping AI systems in enterprise software Experience with AI observability tooling (tracing, cost tracking, LLM-specific monitoring) Fami

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