Software Engineer III - GenAI Patterns
JPMorgan ChaseResponsibilities
- Build and own end-to-end full-stack features across UI, APIs, services, and data layers for AI-enabled products.
- Design and implement knowledge libraries, retrieval-augmented generation capabilities, embedding generation, indexing strategies, and semantic search pipelines.
- Develop AI content and document-generation solutions with guardrails and auditability for regulated workflows.
- Use enterprise-authorized AI coding and software development lifecycle tools while validating outputs through peer review, automated testing, and secure coding standards.
- Engineer agentic workflows with policy checks, workflow constraints, deterministic controls, and robust agentic validations.
- Implement semantic validation for grounding, relevance, duplication detection, hallucination reduction, and structured evaluation.
- Apply engineering best practices for testing, reliability, observability, performance, scalability, and secure coding.
- Collaborate with engineering, product, and risk/compliance partners and contribute reusable AI engineering patterns.
Requirements
- Formal training or certification in software engineering concepts and at least 3 years of applied experience.
- Strong full-stack software engineering fundamentals, including clean APIs, robust services, and thoughtful user experiences.
- Experience building production systems with scalability, performance tuning, monitoring and alerting, incident practices, and delivery automation.
- Familiarity with search and retrieval systems, including semantic search, vector stores, indexing, ranking, and query pipelines.
- Hands-on experience using enterprise-authorized AI-assisted software development tools and evaluating and refining generated outputs for correctness, performance, and security.
- Understanding of responsible AI engineering practices, data sensitivity, secure input and output handling, resiliency, and security expectations.
- Experience or comfort working with LLM-based systems, prompting patterns, structured outputs, evaluation, and guardrails.
- Knowledge of generative AI concepts, prompt engineering, RAG, embeddings, vector search, LangChain, model evaluation, guardrails, and hallucination reduction is preferred.
- Experience with Python, Java, Spring Boot, OpenAI, vector databases or Pinecone, and AWS is preferred.
- Open-source community contribution or startup experience is a plus.
- Ability to collaborate across engineering, product, and risk/compliance functions.
Benefits
- Competitive total rewards package with base salary determined by role, experience, skills, and location; eligible roles may also receive incentive compensation or forfeitable equity.
- Comprehensive health care coverage and on-site health and wellness centers.
- Retirement savings plan, backup childcare, tuition reimbursement, mental health support, and financial coaching.
- Benefits and programs are subject to eligibility and additional compensation details are provided during the hiring process.
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.