Role overview
*GenAI Engineer
Location: Mountain View, CA (Hybrid)
Duration: 1 year**
The project is focused on building
production-grade GenAI solutions
with emphasis on:
RAG pipelines
leveraging LLMsPrompt 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)
proficiencyCloud LLM providers
(Azure OpenAI, AWS Bedrock, Vertex AI)Workflow orchestration
(Airflow, Dagster)Security & privacy
(PII handling, RBAC)Python expertise
with strong practical experience
- A production-ready prompt + RAG pipeline system with measurable quality lift (accuracy/confusion metrics) and reduced hallucinations, backed by a repeatable evaluation harness.