At a Glance
- Tasks: Design and develop AI/ML solutions for the LLM Suite platform at JPMorgan Chase.
- Company: Join a leading financial institution known for innovation and collaboration.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Other info: Embrace diversity and inclusion in a dynamic workplace with excellent career advancement opportunities.
- Why this job: Shape the future of intelligent systems and tackle complex challenges with cutting-edge technology.
- Qualifications: Degree in computer science or equivalent experience; strong software development skills required.
The predicted salary is between 60000 - 80000 £ per year.
Help shape how intelligent systems are built and delivered at JPMorgan Chase. In this role, you’ll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You’ll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you’ll fit right in.
Job Responsibilities
- Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges.
- Write secure, high-quality production code and maintain algorithms that integrate with existing systems.
- Collaborate with senior engineers and participate in design discussions.
- Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks.
- Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Collaborate openly with the team, seek feedback, and apply it to improve outcomes.
Required Qualifications, Capabilities, and Skills
- Computer science degree or equivalent practical experience.
- Hands-on experience with system design, application development, testing, and operational stability.
- Strong understanding of the Software Development Life Cycle.
Preferred Qualifications, Capabilities, and Skills
- Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock.
- Proficiency in Python (FastAPI).
- Experience building microservices and APIs.
- Experience with elastic compute, NoSQL databases, and messaging queues.
- Proficiency working with large language models and building agents with LangGraph.
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization.
- Knowledge of agent‑to‑agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators.
Applied AI ML Software Engineer III - LLM Suite Engineering - Senior Associate employer: J.P. Morgan
At JPMorgan Chase, we pride ourselves on fostering a dynamic work environment where innovation thrives and collaboration is key. As an Applied AI ML Software Engineer III, you'll not only engage in cutting-edge projects but also benefit from a culture that prioritises employee growth through mentorship and hands-on learning opportunities. Our commitment to diversity and inclusion ensures that every voice is heard, making it an exceptional place for talented individuals to contribute meaningfully while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Applied AI ML Software Engineer III - LLM Suite Engineering - Senior Associate
✨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 J.P. Morgan 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 J.P. Morgan.
✨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 J.P. Morgan.
✨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 J.P. Morgan 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 Applied AI ML Software Engineer III - LLM Suite Engineering - Senior Associate
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 J.P. Morgan.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at J.P. Morgan 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 J.P. Morgan
✨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 J.P. Morgan 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.
