AI Ops - AI/ML Engineer

About this role

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Skills you'll use

Who can apply

• Clear understanding of how RAG context affects LLM reasoning and how to diagnose retrieval-driven errors.
• Familiarity with semantic search concepts: cosine similarity, approximate nearest neighbor, and hybrid search.
• Production experience with the Claude API (messages format, system prompts, structured output patterns) is a plus.
• Experience with LLM output validation frameworks such as Pydantic or Guardrails is a plus.
• Understanding of confidence calibration techniques (ECE, Platt scaling, temperature effects) is a plus.
• Exposure to SRE or observability domains, and familiarity with multi-tenant architectures where tenant isolation is a hard requirement, is a plus.
• Knowledge of re-ranking models (cross-encoders) and experience with Kubernetes/AWS EKS is a plus.

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