JP Morgan Chase

Runs a consumer bank and an investment bank

Software Engineer 3 - Multiple Teams

AI Application EngineeringConfirmed live in the last 24 hours

Full-timeBengaluru, Karnataka, IndiaNo salary listedIn-person

About the Job

Requirements

Formal training or certification in software engineering concepts and at least 3 years of applied experience.
Hands-on software development experience with large language models, generative AI solution integration, and retrieval-augmented generation solutions.
Practical experience in system design and application development, including building data pipelines, testing, and operational stability.
Experience with AI agent frameworks, LangChain, and LangGraph, including document-based generative AI use cases.
Strong hands-on expertise with Python and experience with frameworks such as Django, Flask, or FastAPI.
Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages and database querying languages.
Overall knowledge of the software development life cycle.
Understanding of agile methodologies, application resiliency, and security, and experience with continuous integration and continuous delivery pipelines.
Knowledge of software applications and technical processes within machine learning and cloud technologies.
Hands-on experience with enterprise-authorized AI-assisted software development tools, including the ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective use within team practices.

Responsibilities

Execute software solutions integrating generative AI models with enterprise workflows, including design, development, and technical troubleshooting.
Build data pipelines that clean, transform, and aggregate data from disparate sources.
Create secure, high-quality production code and maintain algorithms that integrate with appropriate systems.
Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse datasets to continuously improve software applications and systems.
Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Contribute to software engineering communities of practice and events exploring new and emerging technologies.
Use enterprise-authorized AI coding-assistance tools to improve code quality, delivery speed, and productivity across complex deliverables, validating outputs through peer review, automated testing, and secure coding standards; contribute learnings and reusable patterns to broader team effectiveness.
Apply knowledge of software development life cycle toolchain capabilities, including enterprise-authorized AI-assisted development and automation, to improve the value realized by automation.
Develop and deliver technology products as a seasoned member of an agile team in support of business objectives.

Desired Qualifications

Hands-on experience building enterprise generative AI solutions.
Experience building solutions using AWS or similar cloud technologies.
Certifications in cloud technologies.
Familiarity with Java and shell scripting.

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.

As a Software Engineer III - Python Developer + Gen AI + LLM at JPMorgan Chase within the Commercial & Investment Bank, you'll 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.

Job responsibilities

Executes software solutions which integrate Gen AI models with Enterprise workflows, including design, development, and technical troubleshooting.
Demonstrates the ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Builds data pipelines that clean, transform, and aggregate data from disparate sources
Creates secure and high-quality production code and maintains algorithms that integrate seamlessly with appropriate systems
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Contributes to software engineering communities of practice and events that explore new and emerging technologies
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 3+ years applied experience
Hands on software development experience with experience working with LLMs, Gen AI solution integration, RAG solutions.
Hands-on practical experience in system design, application development, including building data pipelines, testing, and operational stability
Experience in AI agents frameworks, Langchain, LangGraph and experience working on document-based Gen AI use cases
Strong hands-on expertise with Python is a must-have, with experience in Python frameworks like Django, Flask or FastAPI.
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
Overall knowledge of the Software Development Life Cycle
Solid understanding of agile methodologies, application resiliency, and security. Experience working with CI/CD pipelines
Demonstrated knowledge of software applications and technical processes within ML and Cloud technologies.
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Preferred qualifications, capabilities, and skills

Hands-on experience in building Gen AI solutions for the enterprise
Experience building solutions using AWS/similar cloud technologies
Certifications in cloud technologies
Familiarity with Java, shell scripting is preferred.

About the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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