Software Engineer III - Python Developer Prompt Engineering Agentic AI AWS
Data Science Analytics & Machine Learning
Job Description
As a Software Engineer III - Python Developer + Gen AI + LLM at JPMorgan Chase within the Commercial & Investment Bank, youll 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 firms 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.
- 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.
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- 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.
- 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.
Skills
PythonDjangoFlaskPython DeveloperAiMlLlmLlmsGen AiRagLangchainLanggraphAi AgentsFastapiPrompt EngineeringAgenticAgentic AiIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
JPMorgan Chase & Co. is the largest bank in the United States and a leading global financial services firm, with assets of over US $4 trillion and operations in 100+ countries. Headquartered in New York City, the firm serves millions of consumers, small businesses, corporations, governments, and institutions under its J.P. Morgan and Chase brands.
Its business segments include Consumer & Community Banking, Corporate & Investment Bank, Commercial Banking, and Asset & Wealth Management. Known for its fortress balance sheet, innovation in digital banking, and commitment to sustainability, JPMorgan Chase invests heavily in technology, AI, and cybersecurity to deliver secure, customer‑centric solutions.
In India, JPMorgan Chase operates across Mumbai, Bengaluru, and Hyderabad, with large Global Service Centers supporting technology, operations, finance, and risk functions. The firm is recognized for its diverse talent base, employee development programs, and community impact initiatives.
Important dates & deadlines?
Application Deadline
29 Nov 26, 05:27 PM IST
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Software Engineer III - Python Developer + Prompt Engineering + Agentic AI + AWS
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