Full-stack Software Engineer I - AI Engineering

JPMorgan Chase & Co.; City Of London; On-site; GBP 90,000 - 130,000; Full time

Job summary

JPMorgan Chase & Co. in London is seeking a Full Stack Software Engineer in AI Engineering to design, develop, deploy, and maintain production-ready AI products across software, cybersecurity, and infrastructure.

You will collaborate with data scientists, data engineers, and research teams to move ideas from prototype to production, while upholding secure, scalable architectures and high engineering standards.

Qualifications

• Proficiency in Python and at least one additional modern programming language (Go or TypeScript).
• Experience building 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 versioning & validation.
• Experience with large language model application patterns, including retrieval-augmented generation and prompt design.

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

Skills

Python

Golang

TypeScript

APIs & backend

CI/CD

Security & resiliency

Data pipelines

LLM patterns

Production engineering

Collaboration

Job description

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.