Lead Software Engineer – AI + Python (Agentic AI Platforms)
JPMorgan Chase · Bengaluru
| Company | JPMorgan Chase |
|---|---|
| Role | Lead Software Engineer – AI + Python (Agentic AI Platforms) |
| Location | Bengaluru |
| Work mode | On-site |
| Experience | 6+ years |
| Job type | Full-time |
About this job
JPMorgan Chase is hiring a Lead Software Engineer in Bengaluru for Corporate Technology to lead the design and build of GenAI apps and agent platforms that serve Finance teams. You will design cloud-native AWS services and reusable building blocks such as agents, retrieval, guardrails and tool orchestration.
The role also sets evaluation and observability standards, controls cost and reliability, and mentors senior engineers. It suits someone with advanced Python and a record of shipping LLM systems in a regulated setting.
Eligibility
- Formal training or certification in software engineering and 8+ years of applied experience
- Experience shipping production LLM apps with agentic workflows
- Familiar with LangChain, LangGraph, AutoGen, CrewAI or A2A
- RAG with embeddings, semantic search and vector databases
- Advanced Python and cloud-native AWS with containers and serverless
Skills required
What you will do
- Lead architecture and delivery of agentic AI platforms
- Build agents, memory, guardrails and tool orchestration
- Design retrieval and context engineering with prompt versioning
- Build governed APIs that connect AI to enterprise systems
- Set up evaluation, regression testing and observability
How to apply
- Open the official JPMorgan Chase job page with the Apply button and submit your application there.
- Tailor your resume to LLM and agent systems you shipped, how you evaluated them and the AWS services behind them.
Before the interview, prepare:
- Agent orchestration: LangGraph state, tool calls and human-in-the-loop steps
- RAG quality: chunking, hybrid search, grounding and evaluation metrics
- Cost and latency: caching, context size and model choice on Bedrock
- Guardrails in a bank: PII handling, prompt injection and audit trails
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