Full-stack Software Engineer II - AI Engineering in City of London

Full-stack Software Engineer II - AI Engineering in City of London

City of London Full-Time 63000 - 77000 £ / year (est.) On-site
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At a Glance

  • Tasks: Shape AI technology by developing and deploying innovative software solutions.
  • Company: Join JPMorgan Chase, a global leader in financial services with a focus on innovation.
  • Benefits: Enjoy competitive salary, health benefits, remote work options, and career growth opportunities.
  • Other info: Be part of a diverse team that values inclusion and high engineering standards.
  • Why this job: Make a real impact in AI engineering while collaborating with top talent in the industry.
  • Qualifications: Proficiency in Python and experience in building production software are essential.

The predicted salary is between 63000 - 77000 £ per year.

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.

Full-stack Software Engineer II - AI Engineering in City of London employer: JPMorgan Chase & Co.

JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in the heart of London’s International Private Bank. With a strong emphasis on professional development, employees benefit from comprehensive training programs and opportunities for career advancement, all while enjoying a collaborative culture that values teamwork and innovation. The role of Executive Assistant not only provides a chance to work closely with senior leaders but also allows for meaningful contributions to the success of the team in a prestigious financial institution.

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Contact Details:

JPMorgan Chase & Co. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Full-stack Software Engineer II - AI Engineering in City of London

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at JPMorgan Chase & Co. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to JPMorgan Chase & Co..

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like JPMorgan Chase & Co..

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like JPMorgan Chase & Co. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Full-stack Software Engineer II - AI Engineering in City of London

Python
Golang
TypeScript
Full Stack Development
API Design and Development
Concurrency Concepts
Continuous Integration

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at JPMorgan Chase & Co..

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at JPMorgan Chase & Co. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at JPMorgan Chase & Co.

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If JPMorgan Chase & Co. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.