The Seo Byte - Lead AI Engineer - Agentic Systems in Bangalore, भारत

Roles & Responsibilities : - Design and implement complex components of agentic pipelines - multi-agent graphs, tool orchestration layers, retrieval modules, and memory systems - using LangGraph, AutoGen, CrewAI, or equivalent.- Take ownership of full sub-system designs : define agent topology, data flows, API contracts, and failure handling for a bounded scope.- Build and optimise production RAG pipelines : document ingestion, chunking strategy, embedding selection, hybrid search, retrieval evaluation, and latency tuning.- Integrate agentic systems with pharma data platforms (IQVIA, Symphony, Komodo, Veeva) via REST, event-driven hooks, and batch pipeline patterns.- Own observability for components : instrument trace logging, cost metrics, drift alerts, and evaluation harnesses using LangSmith, Helicone, or equivalent.- Lead CI/CD for owned modules : containerisation (Docker/Kubernetes), automated test suites, staging gate criteria, and rollback procedures.- Translate medical affairs, commercial analytics, and clinical ops requirements into agent component specifications.- Apply 21 CFR Part 11 auditability, HIPAA-compatible data handling, and GxP traceability patterns to every component.- Build intelligent document processing pipelines for pharma content : drug labels, clinical study reports, HEOR dossiers, and regulatory submissions.- Contribute to KOL mapping, competitive intelligence, and signal detection agents with domain-aware retrieval and reasoning strategies.- Serve as the day-to-day technical reference for AI Engineers on the pod : code review, design feedback, unblocking implementation issues.- Lead component-level design reviews and surface architecture risks before they reach staging.- Pair with junior engineers on hard problems and document patterns and decisions in the team's shared knowledge base.- Represent engineering quality in client-facing technical discussions and translate complex trade-offs into plain language.- Contribute reference implementations and guardrail templates to the firm's internal agentic AI https://jobeax.com/link/btlSJUWipPgxb4Uv Candidate : Profile : - Strong Lead AI Engineer Profile with agentic systems architecture expertise and pharma regulated-environment https://jobeax.com/link/6sJyHYEbWQH22DWl : - Must have 6+ years of software or ML engineering, with at least recent 2+ years building and shipping production LLM or agentic AI systems in pharma https://jobeax.com/link/LPnafCuZapYZ5cNh Stack : - Frameworks : LangGraph, LangChain, AutoGen, CrewAI.- LLM APIs : Anthropic Claude, OpenAI Assistants API, Vertex AI Agent Builder.- Python : Production-quality code, type annotations, unit and integration tests, packaging, and performance profiling.- RAG : Embedding model selection, vector stores (Pinecone, Weaviate, pgvector), hybrid retrieval, RAGAS.- Cloud/DevOps : AWS, Azure, or GCP; Docker, Kubernetes, Terraform/CDK, CI/CD pipelines.- Observability : LangSmith, https://jobeax.com/link/7vnAI2iyzCUMeedZ Expertise : - Pharma commercial data (Rx/claims, NPI-level analytics, brand performance metrics).- Regulated environments (GxP, 21 CFR Part 11, HIPAA).- Medical affairs analytics, RWE, clinical operations, HEOR/market access, or regulatory https://jobeax.com/link/P7TuDE8drqdGRPjY Skills : - MCP (Model Context Protocol); Veeva Vault, Medidata, IQVIA, or Symphony Health integrations; knowledge graphs (Neo4j, Amazon Neptune); RLHF/fine-tuning/model https://jobeax.com/link/lnZ4GdLF79CTZWZp : - Immediate joiner or currently serving notice period, able to start within the next week. (ref:hirist.tech)