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, reproducible trainin

📌 Data Engineer III (Mumbai)
🏢 JPMorgan Chase
📍 Mumbai