We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Asset and Wealth Management Technology team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job Responsibilities
- Design and build agentic AI workflows capable of multi-step reasoning, tool orchestration, and task execution, with clear boundaries, fallback behavior, and human approvals where needed.
- Develop and productionize LLM-powered applications such as conversational interfaces, intelligent search, summarization/extraction services, and advisory assistants.
- Implement patterns for tool integration (APIs, internal services, data sources) so agents can safely retrieve data and take actions with authentication/authorization, audit logging, and least-privilege access.
- Build and maintain RAG components where applicable (ingestion, indexing, retrieval, grounding/citations, reranking) and tune for answer quality and latency.
- Produce architecture/design artifacts for distributed systems, including service boundaries, data flows, scalability, resiliency, and non-functional requirements (latency/throughput/availability).
- Establish evaluation and monitoring: offline test sets, automated regression checks, prompt/version management, hallucination/grounding checks, and runtime observability (traces, latency, cost, tool-call success rates).
- Apply practical data engineering / analytics skills to support AI features: data cleaning, normalization, deduplication, exploratory analysis, and basic KPI reporting on system quality and user behavior.
- 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.
- Collaborate with product, design, and stakeholders to translate requirements into technical solutions, delivery plans, and iterative releases and ensure solutions meet security, privacy, and responsible AI expectations (safe handling of sensitive data, compliance-aware design, and controlled model outputs).
- Mentor engineers and contribute to shared standards, reusable components, and engineering best practices across AI delivery.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Experience in software engineering, including delivering production applications and services.
- Strong proficiency in Python and experience with APIs/microservices.
- Hands-on experience building LLM/RAG/agentic applications (prompting, structured outputs, tool/function calling, state management, error handling).
- Familiarity with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
- Working knowledge of data handling basics: data cleaning, joins/aggregations, simple statistics, exploratory analysis; comfortable with SQL and/or pandas-style workflows.
- Experience with cloud platforms (AWS or Azure), CI/CD, observability, and operational reliability practices.
- 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.
- Strong understanding of secure development practices and validation of AI outputs (correctness, performance, and security).
Preferred qualifications, capabilities, and skills
- Familiarity with vector search and retrieval tuning (embeddings, reranking, query rewriting).
- Experience working in regulated environments or building applications with strict audit/security requirements.
Skills Required
- Formal training or certification in software engineering concepts
- 3+ years of applied software engineering experience
- Experience delivering production applications and services
- Strong proficiency in Python
- Experience with APIs and microservices
- Hands-on experience building LLM, RAG, or agentic applications
- Familiarity with agent frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen
- Knowledge of data cleaning, joins, aggregations, basic statistics, and exploratory analysis
- Comfort with SQL and/or pandas-style workflows
- Experience with AWS or Azure
- Experience with CI/CD, observability, and operational reliability practices
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, and secure handling of inputs and outputs
- Strong understanding of secure development practices and validation of AI-generated outputs
- Familiarity with vector search and retrieval tuning
- Experience in regulated environments or applications with strict audit and security requirements
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
-
Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
-
Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
-
Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
Gallery
.png){kind=logo}
