Software Engineer III - AIML

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Software Engineer III at JPMorganChase within Corporate AIML Data Platforms-Chief Data and Analytics Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way.

You are responsible for contributing to critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives-with a focus on Go/Python based backend services, to support LLM-enabled experiences.

Job responsibilities


* Execute creative software solutions, design, development, and technical troubleshooting for LLM-enabled applications and platforms.


* Design, build, and maintain backend services in Go, delivering secure, high-quality production code with strong testing discipline.


* Build gRPC services defined with Protobuf, including API design, schema evolution, and compatibility/versioning practices.


* Implement bidirectional streaming gRPC endpoints for LLM workloads (e.g., interactive sessions, token/partial-response streaming, incremental results, cancellations, backpressure/flow control).


* Integrate LLM services with supporting systems (authn/z, rate limits/quotas, caching, queues/streams, persistence) and partner with platform/SRE teams as needed.


* Review and debug SDK and service integrations; participate in code reviews and contribute to shared engineering standards.


* Instrument services with strong observability (metrics/logging/tracing), and contribute to runbooks and operational readiness (alerts, dashboards, on-call support as applicable).


* Identify recurring issues and contribute fixes and automation to improve reliability, latency, and operational stability.


* 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.

Required qualifications, capabilities, and skills


* Formal training or certification on software engineering concepts and 3+ years applied experience


* Proficiency in Go for backend/service development, including concurrency patterns (goroutines/channels), context usage, and performance troubleshooting.


* Working knowledge of Python for supporting services, internal tooling, automation, evaluation harnesses, or data/ETL t...