We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III-Gen AI/RAG/Python at JPMorgan Chase within Consumer & Community Banking – Wealth Management, you'll join a small, fast-moving AI pod that builds and deploys generative and agentic AI solutions directly with business users. You'll work hands-on with LLMs, SLMs, agentic frameworks and AWS, get exposure to autonomous AI and agent-to-agent systems, and see your work go live quickly.
Job responsibilities
- Build and ship generative AI and agentic AI applications end to end, from prototype to production.
- Develop agentic workflows, including tool-using agents and multi-agent collaboration.
- Contribute to autonomous AI capabilities with appropriate guardrails and controls.
- Implement orchestration and retrieval-augmented generation (RAG) pipelines, integrating AI solutions with internal systems.
- Build and run model and agent evaluations to maintain high-quality outcomes.
- 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.
- Process and analyze large datasets that support AI solutions.
- Develop components for concurrent, multi-user, and real-time applications.
- Write secure, high-quality production code and deploy on AWS using CI/CD.
- Partner with business users to gather feedback and iterate quickly, while contributing to engineering communities of practice and fostering a culture of diversity, opportunity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years of applied experience.
- Strong Python skills and hands-on experience with Gen AI and AI/ML frameworks, paired with a bias for action and comfort working to tight timelines.
- 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.
- Hands-on experience with agent frameworks such as LangGraph, Google ADK, or similar.
- Practical experience building LLM-based applications using prompt engineering, skill and tool development, and RAG.
- Experience evaluating and benchmarking models or LLM-based applications.
- Experience working with large datasets.
- Understanding of concurrent, multi-user, and real-time application design.
- Experience with AWS or another major cloud platform.
- Strong understanding of the SDLC and agile practices, including CI/CD, application resiliency, and security.
Preferred qualifications, capabilities, and skills
- Exposure to SLMs, LRMs and model fine-tuning.
- Hands-on AI projects, hackathons or personal builds.
- Familiarity with vector databases and streaming architectures.
- Front-end experience for AI user experiences.
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 3+ years of applied software engineering experience
- Strong Python skills
- Hands-on experience with generative AI and AI/ML frameworks
- Experience using enterprise-authorized AI-assisted software development tools and validating their outputs
- Understanding of responsible AI, data sensitivity, secure input/output handling, resiliency, and security practices
- Experience with agent frameworks such as LangGraph, Google ADK, or similar
- Experience building LLM applications using prompt engineering, tool development, and RAG
- Experience evaluating and benchmarking models or LLM-based applications
- Experience working with large datasets
- Understanding of concurrent, multi-user, and real-time application design
- Experience with AWS or another major cloud platform
- Strong understanding of SDLC and agile practices, including CI/CD, application resiliency, and security
- Exposure to SLMs, LRMs, and model fine-tuning
- Hands-on AI projects, hackathons, or personal builds
- Familiarity with vector databases and streaming architectures
- Front-end experience for AI user experiences
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.
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Healthcare Strength — Medical coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
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.
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