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Lead AI Engineer

Sirius Lync

 

Bengaluru, Karnataka, India

Posted On: 13 days ago
Experience: 6+ years
Availability: Onsite
Openings: 1
Category: Lead AI Engineer
Tenure: No Preference/Any
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Description

  1. Design and implement complex agentic pipelines including multi-agent graphs, tool orchestration, retrieval and memory systems.
  2. Own subsystem designs including agent topology, data flows, API contracts and failure handling.
  3. Build and optimize production RAG pipelines covering ingestion, chunking, embeddings, hybrid search and retrieval evaluation.
  4. Integrate agentic systems with pharma data platforms using REST, event-driven and batch patterns.
  5. Own observability through trace logging, cost metrics, drift alerts and evaluation harnesses.
  6. Lead CI/CD for owned modules using Docker, Kubernetes, testing, staging gates and rollback.
  7. Translate medical affairs, commercial analytics and clinical operations requirements into agent specs.
  8. Apply 21 CFR Part 11 auditability, HIPAA-compatible handling and GxP traceability.
  9. Build intelligent document processing pipelines for pharma content.
  10. Contribute to KOL mapping, competitive intelligence and signal detection agents.
  11. Serve as a technical reference for AI Engineers.
  12. Represent engineering quality in client discussions.

Mandatory Requirements

  • 6+ years software/ML engineering experience with recent 2+ years building and shipping production LLM/agentic AI in pharma.
  • Hands-on experience with at least two agentic frameworks including LangGraph, LangChain, AutoGen or CrewAI.
  • SDK experience with Anthropic Claude API, OpenAI Assistants API or Vertex AI Agent Builder.
  • Strong production-quality Python including type annotations, testing, packaging and profiling.
  • Deep RAG experience including embeddings, Pinecone/Weaviate/pgvector, hybrid retrieval and RAGAS.
  • AWS/Azure/GCP cloud deployment with Docker, Kubernetes, Terraform/CDK and CI/CD.
  • Agent observability experience using LangSmith or Helicone.
  • Experience owning complete subsystem designs.
  • Track record of shipping 2+ agentic/ML systems to production with benchmarks.
  • Pharma commercial data experience and regulated environments including GxP, 21 CFR 11 and HIPAA.
  • Exposure to medical affairs, RWE, clinical operations, HEOR or regulatory intelligence.
  • Strong specification writing and architectural communication.
  • Immediate joiner

Education

Any Gradute

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