Description
Join a energetic, high-performing team where your distinctive skills will contribute to a winning culture and strong outcomes.

As a Software Engineer III at JPMorgan Chase within Consumer & Community Banking ,you will be a seasoned member of an agile team designing and delivering end-to-end application development across both frontend and backend components, while leveraging agentic AI capabilities to deliver business solutions in scalable way. You will develop, test, and maintain critical end to end application, application data and architectures, and you’ll partner across business and technology teams to support the firm’s objectives.

This role is ideal for someone who is dynamic and hands-on, with the ability to use agentic tools efficiently to accelerate delivery across full-stack development, data engineering, and machine learning enablement.

Job Responsibilities
- Design and build ML systems end-to-end: problem framing, data prep, feature engineering, model training, evaluation, deployment, monitoring, and iteration.
- Develop agentic AI solutions:



LLM agents that plan, call tools/APIs, run multi-step workflows, and apply guardrails/fail-safes.
- Implement RAG capabilities: retrieval strategy, chunking, embeddings, indexing, and re-ranking to ground agent responses in knowledge.
- Build full-stack product experiences for ML/agent systems: backend services plus frontend UIs for configuration, human-in-the-loop review, observability, and workflow execution.
- Develop and integrate APIs/services: design and implement RESTful (and/or event-driven) integrations to serve models, agents, features, and data products.
- Build scalable data pipelines with Apache Spark (PySpark/Scala) for batch processing and feature generation.
- Use SQL extensively for exploration, transformations, validation checks, and query performance tuning on large datasets.
- Operationalize and evaluate ML/LLM systems with MLOps: CI/CD, model registry, experiment tracking, reproduci

📌 Data Engineer III (Mumbai)
🏢 JPMorganChase
📍 Mumbai