Generative AI Engineer

GenAI Engineer ( Strong Data Science ) Location: Hybrid from San Francisco, CA / Santa Clara, CA / Mountain View CA / Southfield, MI / St. Louis, MO / Princeton, NJ / Austin, TX / Seattle, WA Duration: 12 months contract with possible extension “Given the nature of some of the most urgent work, it is iterative prompt development. It is critical the folks know how to improve a prompt to develop the business outcomes we are looking for. If they can’t easily articulate a business problem, it is hard for them to improve a prompt” 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.