JPMorganChase · Jersey City, NJ, United States
Skills: Python, AWS
JOB DESCRIPTION
Help shape how teams across the firm build AI agents by contributing to a high-visibility AI Agent Platform. You will work on core building blocks—such as the software development kit (SDK), orchestration patterns, reusable components, and quality tooling—that enable teams to create conversational, voice, and document-extraction agent experiences. You will help turn complex problems into dependable production systems, raise engineering standards, and improve accuracy and reliability through disciplined evaluation and iteration.
As a Software Engineer II – AI Agent Platform at JPMorganChase within Enterprise Technology, you will contribute to the design and delivery of platform capabilities that enable large-language-model-powered agents at scale. You will collaborate closely with engineers, product partners, and risk and security stakeholders to ship measurable improvements in performance, developer experience, and operational stability. You will learn continuously, contribute ideas, and help set a high bar for quality in systems used by many teams and users.
Job responsibilities
Build core SDK features and reusable components that enable teams to compose and operate AI agents consistently and safely. Implement orchestration and tool/function-calling patterns that improve reliability, traceability, and developer experience. Develop retrieval and grounding capabilities that connect agents to approved data sources and reduce incorrect or unsupported responses. Create evaluation datasets, benchmarks, and quality metrics to measure capability accuracy and guide iterative improvements. Add testing, observability, and monitoring features (tracing, logs, latency and cost metrics) to improve operability and incident readiness. Partner with cross-functional stakeholders to translate requirements into secure, scalable, production-ready solutions. Contribute to documentation, examples, and reference implementations that accelerate adoption and consistent usage …tru…
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