Software Engineer III - Applied AI
About The Position
As a Software Engineer III at JPMorganChase within Consumer & Community Banking, you will serve as a seasoned member of an agile team designing and delivering 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 address complex business and technology challenges. The role involves taking AI applications from prototype through production, developing agentic workflows and RAG pipelines, integrating solutions with internal systems, evaluating model and agent quality, and deploying secure production code on AWS using CI/CD practices. You will work closely with business users to gather feedback and iterate, while contributing to engineering communities and an inclusive team culture. Consumer & Community Banking supports consumers, small businesses, municipalities, and non-profits through banking, lending, mortgages, credit cards, payments, auto finance, investment advice, mobile applications, digital experiences, and next-generation banking technology.
Requirements
- Formal training or certification in 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.
Nice To Haves
- 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.
Responsibilities
- Build and deliver generative AI and agentic AI applications end to end, from prototype through production.
- Develop agentic workflows, including tool-using agents and multi-agent collaboration.
- Contribute to autonomous AI capabilities with appropriate guardrails, security controls, and responsible AI practices.
- Implement orchestration and Retrieval-Augmented Generation (RAG) pipelines and integrate AI solutions with internal systems.
- Build and execute model and agent evaluations to measure and maintain solution quality.
- Process and analyze large datasets that support AI solutions and applications.
- Develop components for concurrent, multi-user, and real-time applications.
- Create secure, high-quality production code and deploy solutions on AWS using CI/CD practices.
- Use enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, testing, troubleshooting, and documentation, validating outputs for correctness, performance, and security.
- Work closely with business users to gather feedback and rapidly iterate on solutions.
- Contribute to engineering communities of practice and a team culture of diversity, opportunity, inclusion, and respect.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
