Agentic Analytics Engineer

Job Title: Agentic Analytics Engineer (contract)PR: $80/hrContract Length: 12 monthsLocation: Hybrid onsite in South San FranciscoHours: 9-5 PSTStart Date: ASAPClient Overview:As an Agentic Analytics Engineer in Synthetic Molecule Pharmaceutical Sciences(SMPS) in Genentech, you will be responsible for integrating scientific and businessdata from multiple sources to generate agentic analytics product. You will be connectingLarge Language Models (LLMs) to enterprise tools, databases, and APIs to enableconversational data analytics, and contributing to the development of life-savingtherapeutics.Job Description:Agent Orchestration: Use frameworks like LangChain, CrewAI, or LangGraph to build specialized agentsTool Integration: Implement the Model Context Protocol (MCP) to connect agents to internal systems like Microsoft Suite, Slack, or SQL databases.Workflow Mapping: Translate complex business processes (like "genotoxic impurity profile of a therapeutic molecule") into a series of logical steps an AI can follow.RAG Pipeline Maintenance: Build and optimize Retrieval-AugmentedGeneration (RAG) systems using vector databases (e.g., Pinecone, Weaviate) to give agents access to enterprise knowledge and data.Evaluation & Debugging: Use "LLM-as-a-Judge" frameworks to test agent reliability, find where reasoning loops fail, and implement "Human-in-the-Loop" (HITL) approval gates.Skill Set Requirements:Language: Python and SQL (advanced)Data Stack: Modern data warehouses such as SnowflakeFrameworks: LangChain and LangGraphOrchestration: Mastery of reasoning loops (ReAct, Chain-of-Thought)Protocols: Model Context Protocol and RESTful API integrationNice to Haves:Experience in web application developmentBasic understanding of chemistry and drug development and relevant experience in biotech or pharmaceutical companiesEducation/Certification(s)/License(s):Education: B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field, with 1+ years of professional work experiencePortfolio: Evidence of building at least one autonomous system (e.g., an agent that can successfully scrape a site, summarize findings, and email a report without human intervention).