At a Glance
- Tasks: Build practical AI systems that solve real problems for enterprise clients.
- Company: Join Conquer AI, a leader in bespoke AI solutions for businesses.
- Benefits: Receive equity, enjoy hybrid work, and access professional growth opportunities.
- Other info: Ideal for those seeking autonomy and exposure to real business challenges.
- Why this job: Make a real impact by transforming messy processes into efficient AI systems.
- 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 in Oxford employer: Conquer AI
Conquer AI is an exceptional employer for Senior AI Engineers, offering a dynamic work environment where innovation meets practicality. With a focus on building bespoke AI systems that address real-world challenges, employees enjoy a culture of autonomy and collaboration, alongside opportunities for rapid personal and professional growth. The hybrid working model allows for flexibility, while the unique chance to contribute to transformative projects ensures that every team member plays a vital role in shaping the future of AI in enterprise settings.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV 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 give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by understanding the company’s products and challenges. Tailor your examples to show how your experience aligns with their needs. We want to see you shine!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer in Oxford
Some tips for your application 🫡
Show Your Hands-On Experience:When you're writing your application, make sure to highlight your hands-on experience with AI systems and software engineering. We want to see how you've tackled real-world problems and what practical solutions you've built.
Be Client-Focused:Since this role involves working closely with clients, it's crucial to demonstrate your client-facing skills. Share examples of how you've communicated technical concepts to non-technical stakeholders or how you've gathered requirements from clients in the past.
Emphasise Your Problem-Solving Skills:We love candidates who can turn messy business processes into clear, AI-enabled systems. In your application, give us a taste of your problem-solving mindset by detailing specific challenges you've faced and how you approached them.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who take that extra step to connect with us directly.
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 relevant to the job. Be ready to discuss your hands-on experience with LLMs, RAG, and automation. Prepare examples of how you've tackled real-world problems using these technologies.
✨Showcase Your Problem-Solving Skills
Since this role is all about solving operational problems, think of specific instances where you've turned messy processes into streamlined AI solutions. Be prepared to explain your thought process and the impact your solutions had on the business.
✨Communicate Clearly
You'll be client-facing, so practice explaining complex technical concepts in simple terms. Think about how you can convey your ideas clearly and confidently, ensuring that even non-technical stakeholders understand your approach.
✨Demonstrate Ownership and Initiative
This role values a bias for action, so come prepared with examples of when you've taken ownership of a project or initiative. Highlight how you moved quickly from concept to product and the results you achieved, showing that you're proactive and results-driven.
