Job Description

Location: Mountain View CA Hybrid (3 days a week onsite)

What you'll do

• Design, build, and ship GenAI solutions from prototype to production.
• Architect RAG pipelines leveraging large language models.
• Lead prompt engineering : system/tool prompts, function calling, prompt versioning with offline/online evals.
• Implement evaluation & observability with ground source of truth establishment, confusion metrics, LLM-as-judge with human review, cost & latency monitoring.
• Proficiency in Python and experience with LangChain/LlamaIndex (or equivalent).
• Deep understanding of retrieval strategies, prompt patterns, model context management, and hallucination mitigation.
• Experience with cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI) and orchestration (Airflow/Dagster).
• Security/privacy mindset (PII handling, RBAC), and practical cost/performance tuning.
• Partner with product, design, legal/security to ensure safety, privacy, and measurable business impact.

Success looks like

• A production prompt running pipeline system with clear quality lift (accuracy/confusion metrics) and reduced hallucinations-backed by a repeatable eval harness.

What we are looking for

• 5+ Years of relevant experience as an AI Engineer
• Good communication skills
• Team Player
• Available to start immediately

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