Software Engineer III-Gen AI/RAG/Python

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III-Gen AI/RAG/Python at JPMorgan Chase within Consumer & Community Banking – Wealth Management, you'll join a small, fast-moving AI pod that builds and deploys generative and agentic AI solutions directly with business users. You'll work hands-on with LLMs, SLMs, agentic frameworks and AWS, get exposure to autonomous AI and agent-to-agent systems, and see your work go live quickly. Job responsibilities • Build and ship generative AI and agentic AI applications end to end, from prototype to production. • Develop agentic workflows, including tool-using agents and multi-agent collaboration. • Contribute to autonomous AI capabilities with appropriate guardrails and controls. • Implement orchestration and retrieval-augmented generation (RAG) pipelines, integrating AI solutions with internal systems. • Build and run model and agent evaluations to maintain high-quality outcomes. • 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. • Process and analyze large datasets that support AI solutions. • Develop components for concurrent, multi-user, and real-time applications. • Write secure, high-quality production code and deploy on AWS using CI/CD. • Partner with business users to gather feedback and iterate quickly, while contributing to engineering communities of practice and fostering a 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 skills and hands-on experience with Gen AI and AI/ML frameworks, paired with a bias for action and comfort working to tight timelines. • 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 with agent frameworks such as LangGraph, Google ADK, or similar. • Practical experience building LLM-based applications using prompt engineering, skill and tool development, and RAG. • Experience evaluating and benchmarking models or LLM-based applications. • Experience working with large datasets. • Understanding of concurrent, multi-user, and real-time application design. • Experience with AWS or another major cloud platform. • Strong understanding of the SDLC and agile practices, including CI/CD, application resiliency, and security. Preferred qualifications, capabilities, and skills • Exposure to SLMs, LRMs and model fine-tuning. • Hands-on AI projects, hackathons or personal builds. • Familiarity with vector databases and streaming architectures. • Front-end experience for AI user experiences.