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- Tasks: Lead the engineering of an AI-powered platform, designing and shipping features end-to-end.
- Company: Aturiya AI, a fast-paced startup revolutionising outbound sales with AI.
- Benefits: Above-median salary, hybrid or remote work, and a culture of trust and accountability.
- Why this job: Make a real impact in AI development while working closely with founders.
- Qualifications: 3+ years in software development, strong in Python/FastAPI and React/Next.js.
- Other info: Ideal for proactive builders who thrive in a dynamic, high-stakes environment.
The predicted salary is between 48000 - 84000 £ per year.
At Aturiya AI, we are building an AI-powered GTM platform that automates outbound sales at scale. We need someone who can own the technical roadmap - not wait for one to be handed to them.
The role:
- You will be the engineering lead on the product, deciding how things get built, not just building what is specified.
- You will ship features end-to-end: from problem framing through to production.
- The stack is Next.js/React on the front, FastAPI/Python on the back, PostgreSQL/Supabase for data, deployed on Vercel/AWS.
Day-to-day looks like:
- Designing and building core platform features (email automation, lead generation, integrations, MCPs).
- Making architectural calls on LLM orchestration, eval pipelines, and agent reliability.
- Shipping fast, iterating from real user feedback, not spec documents.
- Working directly with founders on product direction.
What we are looking for:
- You have built and shipped products, not just features, and can point to something real.
- You are strong across the stack but especially deep in Python/FastAPI and React/Next.js.
- You have worked with LLMs in production - prompt engineering, evals, handling non-determinism.
- You have taste and care about UX, API design, code structure because sloppy work bothers you.
- You default to action; when something is unclear, you make a call and move without waiting for permission or perfect information.
- 3+ years building software professionally; more matters less than what you have actually shipped.
How we work:
- Small team, high trust, high accountability.
- We ship and measure outcomes, not hours.
- Direct communication; no politics, no layers.
- If something is broken, say it. If you disagree, say it.
- This is not a role to coast at work; if you want low stakes and a predictable 9-to-5, this isn’t it.
- Hybrid (London) or remote.
- Compensation - above-median salary for the right person. We pay well for exceptional talent.
To apply:
We are building for a world where AI agents run most GTM — we want builders who think from first principles, move fast, and care deeply about product impact. Don’t just send a CV. Show us something you have built: a side project, an open-source contribution, a demo, a write-up of a hard technical problem you solved - anything that shows how you think and what you ship. A coding walkthrough works too. Email us at:
Lead AI Engineer in England employer: Aturiya AI
Contact Detail:
Aturiya AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer in England
✨Tip Number 1
Get your hands dirty with a side project that showcases your skills. Build something relevant to the role, like an AI tool or a feature using FastAPI and React. This not only demonstrates your technical prowess but also shows us your passion for building real products.
✨Tip Number 2
When you reach out, don’t just send a CV. Share a coding walkthrough or a demo of something you've built. We want to see your thought process and how you tackle problems, so make it personal and engaging!
✨Tip Number 3
Network with others in the AI space. Join forums, attend meetups, or engage on platforms like GitHub. Building connections can lead to opportunities and insights that might just give you the edge in landing that role with us.
✨Tip Number 4
Be proactive in your approach. If you have questions about the role or our tech stack, ask! Show us that you’re not afraid to seek clarity and that you’re ready to take ownership of your work from day one.
We think you need these skills to ace Lead AI Engineer in England
Some tips for your application 🫡
Show Us Your Work: Don’t just send a CV; we want to see what you’ve actually built! Whether it’s a side project, an open-source contribution, or a demo, make sure to showcase something that highlights your skills and thought process.
Tailor Your Application: Make your application stand out by tailoring it to our job description. Highlight your experience with Python/FastAPI and React/Next.js, and don’t forget to mention any work you’ve done with LLMs in production!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate direct communication, so avoid fluff and get straight to what makes you a great fit for the role.
Apply Through Our Website: We encourage you to apply through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Aturiya AI
✨Showcase Your Projects
When you apply, don’t just send your CV. Bring along something you've built that demonstrates your skills and thought process. Whether it’s a side project, an open-source contribution, or a coding walkthrough, make sure it highlights your experience with Python/FastAPI and React/Next.js.
✨Understand the Tech Stack
Familiarise yourself with the tech stack mentioned in the job description. Be ready to discuss how you’ve used Next.js, FastAPI, PostgreSQL, and AWS in your previous projects. This shows you’re not just a coder but someone who understands the architecture and can make informed decisions.
✨Emphasise Your Problem-Solving Skills
At Aturiya AI, they value action over waiting for perfect information. Prepare examples of times when you made quick decisions in ambiguous situations. Highlight how you framed problems and iterated based on user feedback, as this aligns with their fast-paced environment.
✨Demonstrate Your UX and API Design Knowledge
Since they care about user experience and code structure, be prepared to discuss your approach to UX and API design. Share specific instances where you prioritised these aspects in your work, and explain why they matter to you. This will show that you have the taste and attention to detail they’re looking for.