Senior Software Engineer - Python Developer with Generative AI and Cloud Expertise

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

JPMorgan Chase in Bengaluru, India, seeks a Senior Software Engineer III to lead Python-based development for Gen AI, agentic AI, and AWS-enabled solutions. You will join an agile team delivering secure, scalable software, integrating AI models with enterprise workflows, and shaping data pipelines and production-grade code.

The role requires hands-on experience with LLMs, LangChain, and modern Python frameworks, with emphasis on secure coding, design accuracy, and collaboration across teams.

Qualifications

• 3+ years of applied software engineering experience.
• Experience with LLMs and Gen AI integrations.
• Hands-on data pipelines, testing, and production stability.

Responsibilities

• Develop AI-enabled software integrating Gen AI models with enterprise workflows.
• Build data pipelines for cleansing and aggregating data from diverse sources.
• Create secure production code and maintain algorithms.
• Design artifacts for complex apps and ensure design constraints are met.
• Use enterprise AI coding tools with peer review and secure coding standards.
• Validate AI outputs for correctness, performance, and security.

Skills

Python

LLMs/Gen AI

LangChain/LangGraph

AWS

CI/CD pipelines

Security/compliance

Tools

LangChain

LangGraph

FastAPI

Django/Flask

ML tooling

Job description

Software Engineer III - Python Developer + Prompt Engineering + Agentic AI + AWS

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.

Experience Level

Senior Level