Software Engineer 3 - Applied AI

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

As a Software Engineer III at JPMorganChase within Consumer & Community Banking, 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 will build and deliver generative AI and agentic AI solutions, developing production-ready capabilities that solve complex business and technology challenges.

Job responsibilities

• Builds and delivers generative AI and agentic AI applications end to end, from prototype through production
• Develops agentic workflows, including tool-using agents and multi-agent collaboration
• Contributes to autonomous AI capabilities with appropriate guardrails, security controls, and responsible AI practices
• Implements orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrates AI solutions with internal systems
• Builds and executes model and agent evaluations to measure and maintain solution quality
• Processes and analyzes large datasets that support AI solutions and applications
• Develops components for concurrent, multi-user, and real-time applications
• Creates secure, high-quality production code and deploys solutions on AWS using continuous integration and continuous delivery (CI/CD) practices
• Leverages enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, testing, troubleshooting, and documentation while validating outputs for correctness, performance, and security
• Works closely with business users to gather feedback and rapidly iterate on solutions
• Contributes to engineering communities of practice and a team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years of applied experience
• Strong Python programming skills and hands-on experience with generative AI and AI/machine learning frameworks
• Hands-on experience with agent frameworks such as LangGraph, Google Agent Development Kit (ADK), or similar technologies
• Practical experience with large language models (LLMs), prompt engineering, skill and tool development, and Retrieval-Augmented Generation (RAG)
• Experience with model or large language model evaluation and benchmarking
• Experience working with large datasets
• Understanding of concurrent, multi-user, and real-time application design
• Experience with AWS or another major cloud platform
• Hands-on experience using enterprise-authorized AI-assisted software development tools with demonstrated ability to critically evaluate and validate AI-generated outputs for correctness, performance, and security
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations and secure handling of inputs and outputs
• Solid understanding of the Software Development Life Cycle and agile practices such as CI/CD, Application Resiliency, and Security

Preferred qualifications, capabilities, and skills

• Exposure to small language models (SLMs), large reasoning models (LRMs), and model fine-tuning
• Hands-on experience with AI projects, hackathons, or personal development projects
• Familiarity with vector databases and streaming architectures
• Experience with modern front-end technologies used to build AI-enabled user experiences