> Markdown version of [/jobs/ext/4623400-senior-data-scientist-gen-ai](https://www.wearedevelopers.com/jobs/ext/4623400-senior-data-scientist-gen-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist + Gen AI - **Company:** AIT Global, Inc. - **Location:** Mountain View, CA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Confluence, JIRA, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Role-Based Access Control, OpenAI, Management of Software Versions, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Hallucination Detection, Llamaindex, Generative AI, Agentic-AI, Low Latency, Drift Detection - **Published:** November 7, 2026 - **Apply:** https://www.dice.com/job-detail/b17a2057-81e3-4729-9aaf-4a03e43d57a4 ## About the Role * Large Language Models, AWS, Prompt Engineering, Python, Machine Learning, Gen AI, Confluence, Jira ## Description Prompt engineering (system prompts, tool prompts, function calling, versioning with evaluations) Evaluation & observability, including: * Ground truth setup * Confusion metrics * Hallucination rate measurement * LLM-as-judge with human review * Cost & latency monitoring * Retrieval strategies & prompt patterns * Context management * Hallucination mitigation * Faithfulness & grounding validation * Agentic workflows * Multi-step reasoning * Tool orchestration * Agent success rate measurement * LangChain / LlamaIndex (or equivalent) proficiency * Cloud LLM providers * Azure OpenAI * AWS Bedrock * Vertex AI * Workflow orchestration * Airflow * Dagster * Security & privacy * PII handling * RBAC * Strong Python expertise with real production experience * Success Criteria * Production-ready prompt + RAG system * Measurable quality lift (accuracy, faithfulness, confusion metrics) * Reduced hallucinations * Repeatable evaluation harness * Observable system (quality, latency, cost, drift monitoring)