At a Glance
- Tasks: Build and integrate AI features into a TypeScript-first product, ensuring reliability and performance.
- Company: Exciting early-stage AI company with a focus on innovative automation solutions.
- Benefits: Competitive salary up to £85k, equity up to 5%, and hybrid work model.
- Other info: Dynamic startup environment with significant career growth and ownership opportunities.
- Why this job: Join a pioneering team and make a real impact in the AI industry from the ground up.
- Qualifications: Experience in TypeScript development and deploying agentic AI systems in production.
The predicted salary is between 70000 - 90000 £ per year.
Location: Central London, hybrid (3 days in office)
Salary: Up to £85,000 + up to 5% equity
Reports to: Founder
An early-stage, well-funded AI company is looking for its founding-level AI Software Engineer. You'd be the senior AI hire, reporting directly to the founder, owning the AI layer of a TypeScript-first product that's already being used by enterprise clients in a regulated industry.
What the company does:
They build AI-native agentic software that automates complex operational workflows inside large, regulated organisations. The product replaces slow, manual processes with intelligent automation that learns from existing ways of working, escalates to humans when needed, and integrates into the client's existing systems rather than sitting alongside them.
The company has real paying pilots with enterprise clients, committed investment for the next round, and around 18 months of runway. They were selected from thousands of applicants for a prestigious industry accelerator programme earlier this year. This isn't a pre-revenue idea; it's a product that people are already using and paying for.
What you'll own:
- Building and shipping AI features end-to-end inside a production TypeScript/Next.js product
- Owning evals and accuracy measurement, designing how the team actually knows whether AI systems are performing reliably, not just whether they've deployed
- Deploying AI systems securely into production, including key management and the operational complexity that comes with enterprise-grade regulated environments
- Staying full-stack aware across the product, even where you're not building every screen, so AI capability integrates cleanly rather than creating bottlenecks
- Acting as a technical interface with enterprise clients on features you've built, explaining AI behaviour in plain language to non-technical stakeholders
The current stack is Next.js, TypeScript, PostgreSQL, Docker, Kubernetes, and LangChain/LangGraph.
What they're looking for:
- TypeScript-first. This is a TypeScript-first codebase, not a Python service with a TypeScript wrapper. If your background is Python-heavy but you've genuinely made the shift to TypeScript-first development, that's fine, but you'll need to demonstrate it clearly.
- Agentic systems in production. Not prototypes. Not tutorials. Things you've shipped, that people use, that you've had to keep running.
- Evals. You need to be able to answer the question 'how do you actually know your AI system is performing reliably?' with something more rigorous than 'we tested it before we deployed.'
Beyond those three, the cultural bar matters as much as the technical one. The team is small, every hire changes the shape of the company, and the founder is explicit about wanting someone who can operate independently, communicate clearly with clients, and break through problems without needing close management. If your instinct is to wait for a ticket, this probably isn't the right environment.
Not a fit:
- FAANG-only or large enterprise-only backgrounds
- Python-first profiles without demonstrated TypeScript depth
- Visa sponsorship required (this role cannot sponsor)
- Outside London or unwilling to commute to Central London 3 days a week
Compensation:
Base salary: up to £85,000
Equity: up to 5%. The equity is a meaningful part of this offer, not a footnote. The company is pre-Series A with committed investors. For the right person, this is a real stake in something being built from close to the ground floor.
Founding AI Engineer in London employer: Plan:it
Plan:it is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong emphasis on employee growth, we offer tailored development opportunities and a supportive environment for our team members to thrive. Join us to lead a passionate group of sales professionals and make a significant impact in the EMEA mid-market landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer 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 Plan:it 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 Plan:it.
✨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 Plan:it.
✨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 Plan:it 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 Founding AI Engineer 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 Plan:it.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Plan:it 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 Plan:it
✨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 Plan:it 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.