Similar Jobs at JPMorganChase
Financial Services
The Quantitative Developer will design and implement tools for Rates Trading, enhance systems, analyze datasets, and collaborate with traders and researchers.
Top Skills:
DashGitJavaKdbNumpyPandasPanelPython
Financial Services
The role involves developing tools for model risk governance, automating tasks, and integrating large language models to enhance efficiency and reporting.
Top Skills:
Large Language ModelsPythonQliksenseQlikviewReactTableauTornado Web FrameworkTypescript
Financial Services
Join J.P. Morgan's Quantitative Research team to develop pricing models and risk management strategies for Commodities derivatives, collaborating with traders and technology teams.
Top Skills:
C++Python
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - AI ML + Python at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
At JPMorgan Chase, we are reimagining software engineering itself - by building an AI-Native SDLC Agent Fabric, a next generated ecosystem of autonomous, collaborative agents that transform every phase of the software delivery lifecycle. We are forming a foundational engineering team to architect, design, and build this intelligent SDLC framework levering multi-agent systems, AI toolchains, LLM Orchestration (A2A, MCP) and innovative automation solutions. If you're passionate about shaping the future of engineering-not just building better tools, but developing a dynamic, self-optimizing ecosystem-this is the place for you.
Job responsibilities
Required qualifications, capabilities, and skills
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III - AI ML + Python at JPMorgan Chase within the Asset & Wealth Management, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
At JPMorgan Chase, we are reimagining software engineering itself - by building an AI-Native SDLC Agent Fabric, a next generated ecosystem of autonomous, collaborative agents that transform every phase of the software delivery lifecycle. We are forming a foundational engineering team to architect, design, and build this intelligent SDLC framework levering multi-agent systems, AI toolchains, LLM Orchestration (A2A, MCP) and innovative automation solutions. If you're passionate about shaping the future of engineering-not just building better tools, but developing a dynamic, self-optimizing ecosystem-this is the place for you.
Job responsibilities
- Works closely with software engineers, product managers, and other stakeholders to define requirements and deliver robust solutions.
- Designs and Implement LLM-driven agent services for design, code generation, documentation, test creation and observability on AWS
- Develops orchestration and communication layers between agents using frameworks like A2A SDK, LangGraph, or Auto Gen
- Integrates AI agents with toolchains such as Jira, Bitbucket, Github, Terraform and monitoring platforms
- Collaborates on system design, SDK development and data pipelines supporting agent intelligence
- Provides technical leadership, mentorship, and guidance to junior engineers and team members.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience.
- Experience in Software engineering using AI Technologies
- Strong hands-on skills in Python, Pydantic, FastAPI, LangGraph, and Vector Databases for building RAG based AI agent solutions integrating with multi-agent orchestration frameworks and deploying end-to-end pipelines on AWS (EKS, Lambda, S3, Terraform)
- Experience with LLMs integration, prompt/context engineering, AI Agent frameworks like Langchain/LangGraph, Autogen, MCPs, A2A.
- Solid understanding of CI/CD, Terraform, Kubernetes, Docker and APIs
- Familiarity with observability and monitoring platforms
- Strong analytical and problem-solving mindset.
JPMorganChase Mumbai, Maharashtra, IND Office
B11, B9, B10, Nirlon Knowledge Park, near Mrinal Tai Gore Flyover, Cama Industrial Estate, Mumbai, Maharashtra, India, 400063
What you need to know about the Mumbai Tech Scene
From haggling for the best price at Chor Bazaar to the bustle of Crawford Market, the energy of Mumbai's traditional markets is a key part of the city's charm. And while these markets will always have their place, the city also boasts a thriving e-commerce scene, ranking among the largest in the region. Driven by online sales in everything from snacks to licensed sports merchandise to children's apparel, the local industry is worth billions, with companies actively recruiting to meet the demands of continued growth.

