Software Engineer III - AIML

• 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.

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

• Experience building LLM streaming experiences end-to-end

(token/partial-response streaming, tool/function calling orchestration, session state management, safety/guardrail hooks).

• Familiarity with OpenTelemetry and tracing/metrics patterns for streaming

RPCs (correlation IDs, span links, per-message metrics).

• Experience with Kubernetes/Docker and operating services in containerized

environments.

• Messaging/streaming systems (Kafka/RabbitMQ/SQS), caching (Redis), and

patterns for async orchestration alongside streaming.

• Security best practices for RPC systems: mTLS, authn/z, secrets management,

secure-by-default API design, abuse prevention (rate limiting, payload limits).

• Understanding of cost management and spend alerting for AI/LLM workloads.

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

• 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 tasks.

• Hands-on experience with gRPC and Protobuf in production, including API

design and backward/forward compatibility considerations.

• Experience building and operating microservices/APIs with a production

mindset (monitoring, debugging, incident support, and continuous improvement).

• Proficiency in automation and continuous delivery methods; strong

unit/integration testing discipline.

• Proficient in secure coding practices and core SDLC activities (design,

build, test, deploy, operate).

• 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.

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.