Full-stack Software Engineer I - AI Engineering

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Entry level
Financial Services
We’re one of the world’s biggest technology-driven companies
The Role
Build, deploy, and maintain full-stack AI applications, services, and data pipelines for enterprise use. Collaborate with data scientists, machine learning engineers, research scientists, and technical teams to productionize AI products. Develop secure, scalable, resilient software; maintain APIs and backend services; conduct code reviews; troubleshoot complex issues; apply CI/CD and software security practices; and support LLM applications using retrieval-augmented generation and prompt design.
Summary Generated by Built In

Help shape how AI is built, deployed, and scaled across JPMorganChase. You will work on business-critical products that apply modern machine learning to software, cybersecurity, and technology infrastructure. You will partner with engineers and research teams to take ideas from prototype to production. If you enjoy solving complex problems and building reliable platforms, this role offers meaningful impact and strong career growth. Join a team that values collaboration, inclusion, and high engineering standards.
As a Full Stack Software Engineer, AI Engineering at JPMorgan Chase in the Applied Innovation of AI team within the Chief Data and Analytics Office Technology group, you will design, develop, deploy, and maintain AI products used across the firm. You will work closely with software engineers, data engineers, and research scientists to deliver production-ready capabilities. You will contribute to secure, stable, and scalable systems while improving coding hygiene and system architecture. You will help the team deliver trusted, market-leading AI technology products through modern engineering practices.

Job Responsibilities

  • Collaborate with data scientists and machine learning engineers to deliver AI products into production
  • Design, develop, deploy, and maintain full stack AI applications and services
  • Build and maintain data pipelines for analytics, model evaluation, and training, including versioning, compliance, and validation
  • Create secure, high-quality production code and conduct code reviews and debugging for code written by others
  • Troubleshoot complex technical problems and implement creative software solutions beyond routine approaches
  • Maintain algorithms and services that integrate with dependent systems reliably and efficiently
  • Identify hidden problems and patterns in data to drive improvements to coding hygiene and system architecture
  • Provide technical guidance and direction to support the business and partner technical teams
  • Contribute to an agile team environment with a focus on secure and resilient delivery
  • Promote a team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, and Skills

  • Proficiency in Python and at least one additional modern programming language (for example Golang or TypeScript)
  • Experience building and supporting production software in a large enterprise environment
  • Experience designing, developing, and maintaining APIs and backend services, including concurrency concepts
  • Experience creating secure, high-quality code, including reviewing and debugging code written by others
  • Experience with continuous integration and continuous delivery practices
  • Experience applying security and resiliency practices in software delivery
  • Experience building or supporting data pipelines for analytics, model evaluation, and training with appropriate controls (for example versioning and validation)
  • Experience with large language model application patterns, including retrieval-augmented generation and prompt design

Preferred Qualifications, Capabilities, and Skills

  • Experience delivering AI or machine learning products end to end, from development through deployment and ongoing support
  • Experience partnering closely with research scientists and data engineers to productionize models and workflows

Applied Innovation of AI is a machine learning team within the Chief Data and Analytics Office Technology group at JPMorganChase. The team tackles business-critical priorities using innovative machine learning techniques, with a focus on machine learning for software, cybersecurity, and technology infrastructure. The team partners across lines of business and engineering groups to deliver long-term initiatives that support firm growth.

About UsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
  
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.
About the TeamOur 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.

Skills Required

  • Proficiency in Python and at least one additional modern programming language, such as Golang or TypeScript.
  • Experience building and supporting production software in a large enterprise environment.
  • Experience designing, developing, and maintaining APIs and backend services, including concurrency concepts.
  • Experience creating secure, high-quality code and reviewing and debugging code written by others.
  • Experience with continuous integration and continuous delivery practices.
  • Experience applying security and resiliency practices in software delivery.
  • Experience building or supporting data pipelines for analytics, model evaluation, and training with versioning, validation, and appropriate controls.
  • Experience with large language model application patterns, including retrieval-augmented generation and prompt design.
  • Experience delivering AI or machine learning products end to end, from development through deployment and ongoing support.
  • Experience partnering closely with research scientists and data engineers to productionize models and workflows.

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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
  • Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
  • Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.

JPMorganChase Insights

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The Company
HQ: New York, NY
289,097 Employees
Year Founded: 1799

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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