Software Engineer III - Python LLM Engineer
JPMorgan Chase & Co. (company site, opens in a new tab)3+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted on 18 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and productionize agentic AI workflows and LLM-powered applications (e.g., conversational interfaces, summarization, advisory assistants) with focus on security, audit, and operational reliability.
- Implement tool integrations and RAG components with attention to authentication, authorization, logging, latency, and answer quality.
- Lead design of distributed systems architecture, establish evaluation/monitoring pipelines, and mentor engineers to uphold engineering standards in AI delivery.
Minimum Requirements
- 3+ years of applied software engineering experience with formal training or certification.
- Strong Python proficiency and experience with APIs/microservices.
- Hands-on experience with building LLM/RAG/agentic applications and familiarity with agent frameworks (e.g., LangChain, LlamaIndex).
- Experience with cloud platforms (AWS or Azure), CI/CD, operational monitoring, and secure development practices; mandatory use of enterprise-authorized AI-assisted software development tools.
Ideal Candidate Profile
- Experienced in AI-driven software engineering with demonstrated ability to deliver secure, compliant, and scalable AI applications in regulated or security-sensitive environments.
- Proficient in building complex, multi-step AI workflows involving tool orchestration, error handling, and human-in-the-loop approvals.
- Skilled in integrating AI features with data engineering and operational practices, validation of AI outputs, and guiding teams on responsible AI use and secure coding standards.