AI Associate Engineer for Sales Assistant Platform Technology - Software Engineer III
About The Position
As a Software Engineer III on JPMorganChase’s Sales Assistant Technology team, you will design and deliver trusted, secure, stable, and scalable technology products as a seasoned member of an agile team. You will develop critical technology solutions across multiple technical areas to support business objectives. The role contributes to the Markets Sales AI Platform, onboarding agentic workflows in a federated way and turning generative AI capabilities into reliable systems that help respond to inbound client requests. You will build and productionize multi-step LLM agents and platform capabilities, improve quality through evaluation and feedback, and help establish technical direction for agent design, evaluation, and safe deployment.
Requirements
- Formal training or certification in infrastructure engineering concepts and at least 3 years of applied experience.
- A degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience.
- Strong Python coding skills and comfort owning production code.
- Hands-on experience with AWS, ECS, Bedrock, OpenSearch, vector databases, and Postgres.
- Familiarity with evaluation frameworks, LLM observability, or fine-tuning open-weight models.
- Hands-on experience building with LLMs, including agent frameworks, tool use, RAG, prompt engineering, and evaluations.
- Strong understanding of modern generative AI capabilities, failure modes, and practical mitigation strategies.
- Strong ownership and drive, with a focus on improving what is broken through clear design principles.
Nice To Haves
- OpenSearch, vector databases, and Postgres experience.
Responsibilities
- Execute software solution design, development, and technical troubleshooting, using non-routine approaches to solve technical problems.
- Build an end-to-end agentic platform, including UI, orchestration, routing, memory, training ground, and evaluation frameworks; design, prototype, and productionize multi-step LLM agents that retrieve context and generate accurate, well-structured responses.
- Evaluate emerging applied AI techniques, including tool use, planning, retrieval, evaluation frameworks, fine-tuning, and prompt optimization, and integrate suitable techniques into production.
- Improve quality through evaluations, error analysis, and feedback loops that turn subjective issues into measurable fixes.
- Partner with quantitative research, product, and engineering teams to understand their agents and onboard solutions onto the platform in a federated way.
- Build and maintain production-grade systems that are observable, robust, and scalable.
- Contribute to technical direction and standards for agent design, evaluation, and safe deployment.
- Produce architecture and design artifacts for complex applications and ensure software development meets design constraints.
- Gather, analyze, synthesize, and visualize diverse, large datasets to support continuous improvement of software applications and systems.
- Identify hidden problems and patterns in data and use insights to improve coding hygiene and system architecture.
Benefits
- Competitive total rewards package, with 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
