At a Glance
- Tasks: Build practical AI systems that solve real problems for enterprise clients.
- Company: Conquer AI, a leader in bespoke AI solutions for enterprises.
- Benefits: Equity for every hire, hybrid working, and rapid career growth.
- Other info: Join a dynamic team focused on innovative AI applications.
- Why this job: Make a real impact with AI while tackling exciting business challenges.
- Qualifications: Strong software engineering and hands-on AI experience required.
The predicted salary is between 60000 - 80000 £ per year.
Conquer AI is hiring Senior AI Engineers. We’re looking for hands-on engineers who can build practical AI systems that solve real operational problems for enterprise clients. This is not a pure ML research role. It’s applied, product-minded, and delivery-focused. You’ll work on systems that extract information, reason over documents, automate workflows, connect into business tools, support decision-making, and reduce manual effort for client teams. You’ll be close to clients, close to the problem, and close to the code.
What you’ll work on:
- Agentic AI workflows
- LLM-powered applications
- RAG and knowledge systems
- Document extraction and classification
- Workflow automation
- API and system integrations
- Client-facing prototypes and production builds
- Internal Conquer AI product development
What you’ll do:
- Build AI systems using Python, Node.js, TypeScript, LLMs, and modern AI tooling
- Work with senior engineers and architects to design end-to-end solutions
- Join client sessions to understand workflows and technical requirements
- Help turn messy business processes into clear AI-enabled systems
- Build reliable, explainable, and secure AI applications
- Move quickly from concept to working product
We’re looking for:
- Strong software engineering experience
- Hands-on experience with AI, LLMs, RAG, agents, ML systems, or automation
- Good backend engineering capability
- Experience with APIs, data, integrations, and production systems
- Clear communication and client-facing confidence
- A bias for action and ownership
This role is ideal for someone who wants:
- More autonomy
- More exposure to real business problems
- More greenfield AI work
- More variety than a standard product engineering role
- The chance to help define how AI is used inside major companies
Why Conquer AI? Conquer AI builds bespoke AI systems for enterprise clients. We work on high-value, complex workflows where AI can create meaningful operational change. Every hire receives equity, and we’re building a team where strong people can grow quickly as the company grows.
Location: UK-based
Working style: Hybrid / flexible
Role type: Full-time
Senior AI Engineer employer: Conquer AI
Contact Detail:
Conquer AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at Conquer AI. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that solve real-world problems. This will demonstrate your hands-on experience and product-minded approach, which is exactly what they're looking for.
✨Tip Number 3
Prepare for client interactions! Since this role involves working closely with clients, practice explaining complex AI concepts in simple terms. Being able to communicate effectively will set you apart from other candidates.
✨Tip Number 4
Apply through our website! We love seeing applications directly from our site, so make sure to submit your application there. It shows you're genuinely interested in joining the Conquer AI team!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior AI Engineer role. Highlight your hands-on experience with AI systems, Python, and any client-facing projects you've worked on. We want to see how you can solve real operational problems!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building practical AI solutions and how your background aligns with our mission at Conquer AI. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional or personal capacity, make sure to mention them. We’re interested in seeing how you’ve tackled challenges and built AI systems that deliver results. Don’t be shy about sharing your successes!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team at Conquer AI!
How to prepare for a job interview at Conquer AI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially those related to LLMs and workflow automation. Be ready to discuss specific projects you've worked on that demonstrate your hands-on experience with these technologies.
✨Understand the Business Context
Since this role is all about solving real operational problems, take some time to research Conquer AI's clients and their industries. Think about how AI can address their challenges and be prepared to share your insights during the interview.
✨Showcase Your Communication Skills
This position requires clear communication, especially when interacting with clients. Practice explaining complex technical concepts in simple terms. You might even want to prepare a few examples of how you've successfully communicated with non-technical stakeholders in the past.
✨Demonstrate Your Problem-Solving Approach
Be ready to walk through your thought process when tackling messy business processes. Prepare a couple of scenarios where you've turned a complex problem into a clear, AI-enabled solution, highlighting your bias for action and ownership.