Lead AI Engineer

We are seeking a Lead AI Engineer to serve as the technical owner of our connector implementation, responsible for designing and building the Drug/Drug Interaction Smart Connector in vanilla LangChain and LangGraph with no platform-specific dependencies. In this role, you will architect agentic orchestration that transforms natural-language questions into structured queries, lead a proof-of-concept validation and collaborate with cross-functional experts to ensure statistical and clinical correctness. Responsibilities Design and build the Drug/Drug Interaction Smart Connector in vanilla LangChain and LangGraph with no platform-specific dependencies Architect the agentic orchestration that turns natural-language questions into structured queries against the PharmaPendium Advanced Search API Ensure retrieval through the FAERS module endpoint is reliable and traceable Lead the lightweight POC that validates the implementation can be cleanly refactored into SAIP platform Resolve compatibility issues before they become blockers Build out the full connector logic including candidate drug-pair generation ranked by interaction strength Implement MedDRA classification across generic and clinical phenotype terms Compute PRR/ROR disproportionality producing consistent traceable output tables with case counts, statistical measures and the signal-only interpretation flag Enforce clean well-documented code structured to support Codex-assisted refactoring Partner closely with the Data Scientist and Pharma SME to ensure statistical and clinical correctness Tune the connector against the agreed Golden Q&A set so outputs meet the acceptance baseline through validation and handover Requirements 5+ years of experience in AI engineering or related technical roles Expertise in vanilla LangChain (v1.2.6) and LangGraph (v1.0.7) Proficiency in designing agentic orchestration that converts natural-language questions into structured queries Skills in integrating with the PharmaPendium Advanced Search API and FAERS module endpoint Knowledge of MedDRA classification across generic and clinical phenotype terms Competency in PRR/ROR disproportionality computation and statistical measures Capability to lead POCs and resolve compatibility issues for platform refactoring Background in writing clean well-documented code structured to support Codex-assisted refactoring Understanding of collaborating with Data Scientists and Pharma SMEs to ensure statistical and clinical correctness English proficiency at B2 level or higher