At a Glance
- Tasks: Lead the development of an innovative AI platform and shape its future direction.
- Company: Exciting AI scale-up with a strong foundation and proven product.
- Benefits: Competitive salary, share options, hybrid work, and leadership opportunities.
- Other info: Join a dynamic team and grow your career in a fast-paced environment.
- Why this job: Make a real impact in AI while owning a live product from day one.
- Qualifications: Strong full-stack engineering skills and hands-on AI experience.
The predicted salary is between 120000 - 120000 £ per year.
An AI scale-up is looking for a strong full-stack engineer to take ownership of its platform and lead where it goes next. They're London based, well-funded, and founded by people who have built and sold a business before. The product is already live with clients in MVP form, so you'd be joining something real and proven, with a clear mandate to take it to the next level.
The product ingests the messy, real-time behavioural signals of how people talk and behave across the internet, uses agentic workflows and LLM pipelines to turn that noise into rich, evidence-backed audience profiles, and then lets users test creative ideas against those profiles to predict what will land before a penny is spent. It is hard, applied AI with real commercial stakes: clients bet real budget on what it produces.
In practice that means working across several layers that each carry interesting challenges: large-scale data ingestion from social and web sources, an analysis layer that turns unstructured signal into structured, queryable audience intelligence, and an interface that makes all of it genuinely useful to non-technical users. It was built fast to prove the idea, and now needs proper engineering rigour to mature from MVP into a robust product.
What you'd do:
- Take ownership of the platform end to end and lead its technical direction as it grows.
- Build hands-on across the full stack, from the data and AI pipelines through to the product interface.
- Bring engineering rigour to a fast-built MVP: architecture, reliability, performance and the foundations to scale.
- Work with modern AI tooling day to day, building and improving the agentic workflows and LLM pipelines at the core of the product.
- Help shape product decisions and sit in conversations with the founders and clients, translating what the technology makes possible into clear value.
- Lead the AI function, with plans in place to grow and hire a team around you.
The tech:
- Front-end: React and Next.js, building interfaces that make complex AI output genuinely usable.
- Back-end: Node.js, building APIs and the server-side logic that ties data, AI services and product together.
- AI layer: hands-on with LLMs and agentic workflows, using modern AI APIs, retrieval pipelines and orchestration.
- Data: ingesting and making sense of large volumes of unstructured, real-time signal from across the web and social platforms.
They care more about a strong full-stack builder who is genuinely deep in AI than about a checklist of exact technologies. If you have built real things with this kind of stack and these kinds of AI tools, that's what matters.
Who it suits:
- A strong full-stack engineer, comfortable owning both the front-end and back-end of a product.
- Someone with real, hands-on experience building with AI: LLMs, agents and modern tooling, not just an interest in them.
- A builder with a bias to ship, comfortable with ambiguity and the pace of an early-stage product.
- Someone who enjoys the product and people side too: shaping what gets built, and being able to explain it to founders and clients.
- Ideally experience in a startup or small, fast-moving company, where you've worn several hats.
Why it's worth a look:
- You own a real, live product rather than inheriting a mature codebase or starting from a blank page.
- Genuine influence: the founders are excellent commercially but aren't engineers, so the technical and AI direction is yours to lead.
- Hard, current AI work with real commercial impact, using the best tooling.
- Leadership from the start, with a path to build and run a team as the company scales.
- Share options in a well-funded company with founders who have built and sold before.
The details:
- London based, hybrid.
- Salary up to £120k, with flexibility to go higher for the right person, plus share options.
- This is a senior role with leadership scope and real ownership from day one.
If it sounds of interest, get in touch and I'll share the full details.
Senior / Lead Developer - AI Platform in London employer: Talent
Join a dynamic AI scale-up in London where you can take ownership of a live product and lead its technical direction. With a strong focus on engineering rigour, you'll work on cutting-edge AI challenges while enjoying a collaborative work culture that values your input and expertise. Benefit from leadership opportunities, share options, and the chance to shape the future of a proven platform in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior / Lead Developer - AI Platform 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 Talent 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 Talent.
✨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 Talent.
✨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 Talent 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 / Lead Developer - AI Platform 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 Talent.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Talent 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 Talent
✨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 Talent 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.