Software Engineer III - AI/ML Engineer

• Design and implement components of scalable, reliable agentic AI platforms

requirements into resilient, measurable deliverables

• Contribute to technical standards and code quality through design reviews,

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+

• Experience deploying and operating workloads on Kubernetes-based platforms

• Build production-grade AI systems including agents, skills, memory patterns,

• Implement retrieval and context-engineering patterns including embeddings,

• Engineer cloud-native services on AWS using containers, serverless compute,

• Optimize latency, throughput, scalability, caching, context efficiency, and

• Develop secure, reusable APIs and integrations that connect AI capabilities

• Implement evaluation, experimentation, regression testing, and observability

• Partner with product, platform, and engineering teams to translate

• 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.

• Hands-on experience building and operating production large language model

• Strong software engineering fundamentals with ability to deliver cloud-native

• Advanced python programming skills with experience writing production quality

• Experience with retrieval-augmented generation approaches, including

• Proficiency building React based front end experience that integrates backend

• Experience establishing or contributing to evaluation, testing, and

• Ability to troubleshoot complex issues across distributed systems, including

• Strong collaboration skills with the ability to communicate technical

• 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.

• Experience with experimentation frameworks and automated regression testing

• Familiarity with large language model cost governance and performance

• Experience implementing guardrail patterns that support safe, reliable AI

• Experience building reusable platform components and reference

implementations adopted by multiple teams

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility.

These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

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