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- Tasks: Lead a small team to develop and integrate cutting-edge AI features into full stack applications.
- Company: Join a high-growth tech company with a creative, remote-first culture.
- Benefits: Competitive salary, autonomy in your role, and the stability of an established organisation.
- Why this job: Make a real impact in the AI space while leading innovative projects.
- Qualifications: Strong full stack engineering skills and leadership experience required.
- Other info: Exciting vision with genuine ownership and career growth opportunities.
The predicted salary is between 55000 - 65000 £ per year.
Rare opportunity to join a high growth team building cutting edge AI products in a fast moving, creative environment. You'll be part of a small, high impact team with the autonomy and pace of a scale up, where decisions are made quickly and your work has real visibility. At the same time, the business benefits from the backing, stability, and support of a larger, well established organisation, giving you the best of both worlds.
This is a hands-on Lead role, managing a small team while owning delivery across full stack development, architecture, and deployment. You'll play a key role in shaping how AI is embedded into real, production grade products, not just experimentation.
What you'll be doing:
- Leading 2 developers while staying close to the code
- Designing, building, and scaling full stack applications
- Owning system architecture, deployment, and engineering standards
- Integrating AI features into products using modern APIs and data-driven approaches
- Improving CI/CD, environments, and overall delivery capability
Tech environment - Not set in Stone
- Frontend: React, Next.js, TypeScript (or similar)
- Backend: Node.js (Express, NestJS) or Python (FastAPI, Django) (or similar)
- APIs: REST, GraphQL (or similar)
- Databases: PostgreSQL, MongoDB (or similar)
AI / Data:
- Experience integrating AI/ML features via APIs (e.g. OpenAI, Anthropic or similar)
- Exposure to data pipelines, inference workflows, or retrieval-based systems (RAG, vector DBs or similar)
Cloud & DevOps:
- AWS, Azure, or GCP
- Docker, CI/CD pipelines (GitHub Actions, GitLab CI or similar)
- Experience deploying and maintaining production systems is essential
What they're looking for:
- Strong full stack engineer with leadership experience
- Proven track record delivering and deploying real products
- Comfortable owning deployment and improving engineering standards
- Clear communicator, able to work across technical and non-technical teams
This role isn't for you if:
- Your AI experience is limited to demos, courses, or side projects without production use
- You've never deployed or maintained a live system end-to-end
- You prefer purely frontend or backend work without full stack ownership
- You're not comfortable taking responsibility for delivery, not just contributing code
- Communication with non-technical stakeholders isn't something you enjoy
Small team, real ownership, exciting vision genuine impact. If you've shipped products, can lead from the front, and want to build something meaningful in the AI space, Apply Now.
Lead Developer AI in London employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Developer AI in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your full stack projects, especially those involving AI. This is your chance to demonstrate your hands-on experience and leadership capabilities.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex concepts clearly to both technical and non-technical folks, so practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Lead Developer AI in London
Some tips for your application 🫡
Show Off Your Skills: When you're writing your application, make sure to highlight your full stack development skills and any leadership experience you've got. We want to see how you've delivered real products, so share specific examples that showcase your expertise in AI integration and deployment.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. We love seeing candidates who understand our needs and can demonstrate how their experience aligns with what we're looking for.
Be Clear and Concise: Keep your application clear and to the point. We appreciate straightforward communication, especially when it comes to technical details. Make it easy for us to see your qualifications without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly 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 us you’re genuinely interested in joining our team!
How to prepare for a job interview at Datatech
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description. Brush up on your React, Node.js, and Python skills, and be ready to discuss how you've used these in past projects. Being able to talk about specific frameworks like Express or FastAPI will show that you’re not just familiar with the tech but have hands-on experience.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, prepare examples of how you've successfully managed developers in the past. Think about challenges you faced, how you motivated your team, and the impact of your leadership on project outcomes. This will demonstrate your capability to own delivery and improve engineering standards.
✨Communicate Clearly
You’ll need to work across both technical and non-technical teams, so practice explaining complex concepts in simple terms. Prepare to discuss how you’ve effectively communicated with stakeholders in previous roles. This will highlight your ability to bridge the gap between tech and business needs.
✨Prepare for AI Integration Questions
Given the focus on integrating AI features, be ready to discuss your experience with AI/ML, especially in production environments. Think about specific projects where you’ve implemented AI solutions and be prepared to explain the challenges you faced and how you overcame them. This will show your depth of knowledge and practical experience in the field.