Job Description
GenAI Engineer Mountain View, CA, Hybrid,
No OPTs. Need profiles with minimum 10-12+ years of experience.
Customer Need The project is focused on building production-grade GenAI solutions with emphasis on:
- RAG pipelines leveraging LLMs
- Prompt engineering (system/tool prompts, function calling, versioning with evals)
- Evaluation & observability (ground truth setup, confusion metrics, LLM-as-judge with human review, cost & latency monitoring)
- Retrieval strategies & prompt patterns (context management, hallucination mitigation)
- LangChain/LlamaIndex (or equivalent) proficiency
- Cloud LLM providers (Azure OpenAI, AWS Bedrock, Vertex AI)
- Workflow orchestration (Airflow, Dagster)
- Security & privacy (PII handling, RBAC)
- Python expertise with strong practical experience
Success criteria: A production-ready prompt + RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness.
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