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For Companies At a Glance
- Tasks: Design and launch AI-powered features that solve real-world challenges.
- Company: Fast-moving tech team focused on digital transformation in London.
- Benefits: Build impactful AI products, collaborate with innovative businesses, and enjoy strong career growth.
- Other info: Join a dynamic team that values learning, collaboration, and rapid improvement.
- Why this job: Make a difference by delivering production-ready AI solutions that users love.
- Qualifications: Experience with LLM features, TypeScript, React, and backend API development.
The predicted salary is between 60000 - 80000 £ per year.
Location: London
About the role
We are hiring an AI Product Engineer to join a fast-moving team building and deploying AI-powered products that solve genuine workflow challenges. This is not a pure research role and not a generic software engineering hire. The focus is on turning applied AI into reliable, user-facing features that drive adoption, retention, and measurable business value.
You will work at the intersection of product, engineering, and applied AI, helping leading organisations in London deliver production-ready AI capabilities rather than internal prototypes or demo environments.
Key responsibilities
- Design, build, and launch AI-powered product features for real users in production
- Work across product and engineering teams to identify high-value workflow problems suitable for AI solutions
- Develop and improve LLM-based systems using approaches such as RAG, orchestration, prompt pipelines, and evaluation frameworks
- Build scalable backend APIs and frontend product experiences to support AI feature delivery
- Monitor feature performance, reliability, usage, and user outcomes post-launch
- Contribute to product experimentation, iteration, and continuous improvement based on user behaviour and feedback
- Ensure AI systems are robust, maintainable, and aligned with business and product goals
Requirements
- Proven experience shipping LLM-powered features into production environments
- Strong software engineering background with TypeScript, React, and backend API development
- Hands-on experience with RAG architectures, orchestration frameworks, evals, and real-world AI workflows
- Strong product mindset with the ability to connect technical delivery to usage, retention, and customer value
- Ability to clearly explain what you have built, why it mattered, and how users adopted it
- Comfortable working in cross-functional teams delivering end-to-end product outcomes
Benefits
- Opportunity to build AI products that are actually used in live environments
- Exposure to high-impact digital transformation initiatives across innovative businesses in London
- Collaborative environment focused on shipping, learning, and improving quickly
- Chance to work with modern AI tooling, cloud-based product infrastructure, and production-grade engineering practices
- Strong career opportunity for engineers who want to combine product thinking with applied AI delivery
Message me directly for a confidential conversation or send your CV to channary.kong@keytalentsolutions.co.uk
AI Product Engineer in City of London employer: Key Talent Solutions
Contact Detail:
Key Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and product engineering space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with projects that highlight your experience in building AI-powered features. This is your chance to demonstrate your hands-on experience with LLMs and backend APIs. We want to see what you can do!
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI product engineering and practice your responses. Be ready to discuss your past projects and how they’ve driven user adoption and business value. We’re looking for candidates who can clearly articulate their impact.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us. Don’t miss out on the chance to join our fast-moving team!
We think you need these skills to ace AI Product Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LLM-powered features and software engineering skills. We want to see how your background aligns with the AI Product Engineer role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building AI products and how your skills can help us tackle real-world workflow challenges. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've identified and solved high-value workflow problems using AI solutions. We love seeing candidates who can connect technical delivery to user outcomes and business value.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right team!
How to prepare for a job interview at Key Talent Solutions
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLM-powered features and RAG architectures. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will show your hands-on experience and understanding of real-world AI workflows.
✨Showcase Your Product Mindset
Prepare to explain how your technical work has directly impacted user adoption and retention. Think of examples where you've connected engineering efforts to measurable business value, as this aligns perfectly with the role's focus on delivering user-facing features.
✨Collaboration is Key
Since the role involves working across product and engineering teams, be ready to share experiences where you've successfully collaborated with cross-functional teams. Highlight how you contributed to end-to-end product outcomes and how you navigated any challenges that arose.
✨Be Ready for Technical Questions
Expect to dive deep into your software engineering skills, especially with TypeScript and React. Prepare to discuss how you've built scalable backend APIs and frontend experiences, and be ready to tackle any technical scenarios they might throw your way during the interview.