Senior Developer- Agentic AI with Life Science Experience.
WinWire (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design and develop agent-based AI solutions for clinical, regulatory, and enterprise workflows using LLMs, RAG, and multi-agent architectures.
- Build reusable AI platform components including prompt orchestration layers, agent execution frameworks, and data ingestion pipelines to enable scalable, multi-tenant enterprise use.
- Develop backend APIs with Python and FastAPI, integrate AWS Bedrock for LLM provisioning, ensure observability with Langfuse, and align solutions with enterprise architecture and governance standards.
Minimum Requirements
- 7+ years of strong Python engineering experience.
- 8+ years of experience in FastAPI/backend API development and building LLM/Generative AI production solutions.
- Familiarity with AWS Bedrock or equivalent GenAI platforms and Langfuse or LLM observability tools.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Ideal Candidate Profile
- Experienced in agentic AI and AI platform development for enterprise, especially in clinical, regulatory, or life sciences domains.
- Comfortable with integrating AI solutions into scalable cloud environments using AWS services like EKS, Lambda, and API Gateway.
- Skilled in end-to-end development including backend engineering, full stack (React/Next.js), observability, and enterprise-grade security and governance compliance.