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JPMorganChase

Full-stack Software Engineer I - AI Engineering

Posted Yesterday
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Hybrid
London, Greater London, England, GBR
Entry level
Hybrid
London, Greater London, England, GBR
Entry level
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.
The summary above was generated by AI

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.

JPMorganChase London, England Office

25 Bank Street, Canary Wharf, London, United Kingdom, E14 5JP

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