Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead hands-on AI projects, solving real client problems with innovative solutions.
- Company: Join Conquer AI, a dynamic company focused on bespoke AI systems.
- Benefits: Enjoy equity, salary growth linked to success, and a flexible working style.
- Other info: Work in a collaborative environment with no heavy hierarchy.
- Why this job: Make a real impact by shaping AI deployment in major organisations.
- Qualifications: Strong software engineering skills and experience with AI systems required.
The predicted salary is between 70000 - 90000 £ per year.
Conquer AI is hiring a Hands-on AI Tech Lead. We’re looking for someone who can sit at the intersection of engineering, architecture, and real client problem-solving. This is not a slideware role. You’ll be working directly with senior clients to understand complex operational workflows, whiteboard where agentic AI can remove manual effort, design the solution, and work hands-on with engineers to get it built.
At Conquer AI, we build bespoke AI systems for enterprise clients. These are often greenfield projects, focused on automating real business processes across documents, data, workflows, approvals, communications, and decision support. You’ll also work on our own internal product development as we turn repeated client patterns into reusable AI systems.
What you’ll do:
- Work directly with clients to understand messy business workflows
- Whiteboard and solutionise where agentic AI can automate or augment work
- Design practical AI architectures across LLMs, data, APIs, workflows, and systems
- Stay close to the engineering, not just the architecture
- Build and guide solutions using Python, Node.js, TypeScript, LLMs, RAG, agents, and integrations
- Help shape greenfield AI projects from idea through to production
- Work across client delivery and Conquer’s own AI product development
We’re looking for someone who has:
- Strong hands-on software engineering experience
- Experience building real AI, LLM, RAG, agentic, or automation systems
- Strong backend engineering capability, ideally across Python, Node.js, or TypeScript
- Comfort working with APIs, data flows, integrations, and enterprise systems
- The ability to speak clearly with clients and translate complexity into practical solutions
- High ownership, strong judgement, and comfort with ambiguity
This is probably not right if:
- You only want to manage people and stay away from the code
- You prefer pure research over building production systems
- You need a highly defined role with narrow responsibilities
- You are not comfortable working directly with clients
Why Conquer AI?
- Greenfield AI work
- Real enterprise problems
- Client-facing ownership
- No heavy hierarchy
- Equity with every hire
- Salary growth linked to business success
- A chance to help shape how agentic AI is deployed inside major organisations
Location: UK-based
Working style: Hybrid / flexible, with client and team sessions when needed
Role type: Full-time
If you’re an engineer who wants more ownership, more client exposure, and more meaningful AI problems to solve, we’d like to speak with you.
AI Tech Lead in England employer: Conquer AI
Contact Detail:
Conquer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Tech Lead in England
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI field. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your hands-on experience with AI projects. Whether it's GitHub repos or case studies, make sure to demonstrate how you've tackled real-world problems. This will set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Research common questions for AI Tech Leads and practice your responses. Be ready to discuss your past projects and how you’ve worked directly with clients to solve complex issues. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who are eager to take on greenfield AI projects. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Tech Lead in England
Some tips for your application 🫡
Show Your Hands-On Experience: Make sure to highlight your hands-on software engineering experience in your application. We want to see how you've tackled real AI projects and the impact you've made, so don’t hold back on those details!
Speak Our Language: Use the same terminology as we do in the job description. When you mention your skills with Python, Node.js, or TypeScript, relate them directly to how they can solve client problems. This shows us you understand what we're looking for.
Client Interaction is Key: Since this role involves working directly with clients, share examples of how you've successfully communicated complex ideas in a simple way. We love seeing candidates who can bridge the gap between tech and client needs!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Conquer AI
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Node.js, and TypeScript. Be ready to discuss your hands-on experience with AI systems and how you've tackled real-world problems using these tools.
✨Understand Client Needs
Since this role involves direct client interaction, brush up on how to effectively communicate complex technical concepts in simple terms. Think of examples where you've successfully translated client needs into practical solutions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific instances where you've designed solutions for messy workflows or greenfield projects. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Be Ready to Whiteboard
Expect to engage in whiteboarding sessions during the interview. Practise sketching out AI architectures and workflows on a board, as this will demonstrate your ability to think critically and collaborate in real-time.