At a Glance
- Tasks: Design and build intelligent systems that enhance decision-making in financial services.
- Company: Join American Express, a leader in innovative financial technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and cutting-edge technology.
- Why this job: Shape the future of AI in finance and make a real impact.
- Qualifications: Experience in software engineering with LLM-powered systems and strong backend skills.
The predicted salary is between 80000 - 98000 £ per year.
The role involves designing and building intelligent, adaptive agentic systems that plan, reason, and act across complex workflows. Engineers will shape solutions in collaboration with product and design teams to deliver capabilities that reduce operational friction and improve decision-making. The work includes building production-grade systems that operate on financial data and meet high standards for security, explainability, and reliability. Responsibilities include architecting RAG pipelines, contributing to shared AI infrastructure, and owning systems throughout the production lifecycle. The position requires turning ambiguous problems into shipped features that customers rely on.
Required Qualifications and Skills
- Proven software engineering experience with a track record of shipping LLM-powered or agentic systems for real users.
- Strong engineering fundamentals in backend systems, APIs, data pipelines, and cloud infrastructure.
- Proficiency in modern LLM tooling, agentic patterns, and AI-assisted development workflows.
- A strong product mindset, technical judgment, and the ability to operate in ambiguous environments.
- Employment eligibility to work in the UK is mandatory.
Senior AI Engineer I in London employer: Towards AI, Inc.
American Express is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of AI engineering. Located in London, employees benefit from a vibrant work environment that encourages professional growth through access to cutting-edge technology and diverse projects in the financial services sector. With a strong emphasis on employee development and a commitment to building secure, reliable systems, American Express offers a rewarding career path for those looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer I in 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 Towards AI, Inc. 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 Towards AI, Inc..
✨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 Towards AI, Inc..
✨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 Towards AI, Inc. 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 Senior AI Engineer I in London
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 Towards AI, Inc..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Towards AI, Inc. 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 Towards AI, Inc.
✨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 Towards AI, Inc. 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.
