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Senior, niche AI platform role at a non‑Tier1 company in a metro reduces applicant density.
High—requires specialized LLM production, platform, observability, and cloud operations skills not easily transferable.
High—explicit 10+ years plus mandatory hands-on production AI/LLM platform and cloud experience required.
Build and maintain core AI platform services and reusable capabilities including APIs, SDKs, orchestration, and evaluation systems to enable production-ready AI features across product teams.
Own AI system evaluation, reliability, observability, and production readiness by implementing testing, monitoring, fallback, and safety mechanisms for LLM-powered workflows.
Lead AI adoption via technical influence by mentoring engineers, driving standards, performing design reviews, and collaborating cross-functionally to establish scalable AI platform practices.
10+ years of hands-on backend/platform engineering experience with recent experience in production backend/platform systems.
Proven experience building and shipping production-grade AI/LLM systems such as RAG, agent workflows, AI APIs, or LLM-powered products.
Strong programming skills in Python and backend service stacks; deep knowledge of API design, reliability, testing, observability, and cost optimization.
Experience deploying and operating cloud-based production systems (AWS, GCP, Azure, or similar).
Experienced in hands-on technical leadership driving AI platform development and adoption in cross-functional environments without formal people management.
Skilled in building production-grade AI system architectures covering context engineering, retrieval, orchestration, validation, and safety.
Able to influence engineering teams via architecture reviews, technical standards, comprehensive documentation, and direct technical contributions.