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- Tasks: Lead a small team to develop and deploy cutting-edge AI products.
- Company: Join a high-growth tech company with a creative, fast-paced environment.
- Benefits: Competitive salary, remote-first work, and real ownership of projects.
- Why this job: Make a genuine impact in the AI space while leading innovative projects.
- Qualifications: Strong full stack engineering skills and leadership experience required.
- Other info: Exciting opportunity for career growth in a dynamic team.
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. No sponsorship available.
Lead Developer AI in Crawley employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Developer AI in Crawley
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech and AI space. Attend meetups, webinars, or even online forums where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and full stack development. This is your chance to demonstrate your hands-on experience and leadership capabilities. Make sure it’s easy to access and share!
✨Tip Number 3
Prepare for interviews by practising common questions related to AI integration and full stack development. Think about how you’ve led teams and delivered products in the past. We want to hear your stories, so make them engaging and relevant!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and eager to join our high-growth team. So, hit that apply button and let’s get started!
We think you need these skills to ace Lead Developer AI in Crawley
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share specific examples of how you've integrated AI features into products and the impact it had. We love seeing candidates who are genuinely excited about shaping the future of technology.
Highlight Your Leadership Skills: Since this role involves leading a small team, make sure to showcase your leadership experience. Talk about how you've managed teams in the past, your approach to mentoring developers, and how you ensure successful project delivery. We want to see that you can lead from the front!
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate candidates who can communicate effectively with both technical and non-technical stakeholders, so make sure your application reflects that skill.
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. Highlight relevant experiences and skills that align with what we’re looking for. Remember, applying through our website gives you the best chance to stand out!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like React, Node.js, and AI integration. Brush up on your knowledge of full stack development and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, prepare examples that highlight your leadership experience. Think about times when you’ve successfully managed a project or mentored others, and be ready to share how you foster collaboration and drive results.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Be ready to explain your approach to system architecture, deployment, and CI/CD improvements. Practise articulating your thought process clearly, as communication with both technical and non-technical teams is key.
✨Demonstrate Your Passion for AI
This role is all about embedding AI into products, so show your enthusiasm for the field. Discuss any relevant projects where you’ve integrated AI features, and be prepared to talk about the latest trends in AI and how they can impact product development.