At a Glance
- Tasks: Design and deploy real-world AI systems that solve business problems.
- Company: Agentic AI, a leader in deploying autonomous AI in major enterprises.
- Benefits: Hybrid work model, high-performance culture, and massive growth opportunities.
- Other info: Fast-paced environment with ownership and collaboration at its core.
- Why this job: Join a cutting-edge team making a real impact with AI technology.
- Qualifications: Strong Python skills and experience in applied AI engineering.
The predicted salary is between 60000 - 80000 £ per year.
Most companies are still experimenting with copilots. This team is already deploying autonomous AI systems into production inside major global enterprises. We’re talking:
- AI agents executing workflows end-to-end
- Multi-agent systems
- RAG + reasoning systems
- Real operational impact
- Production-grade AI, not demos
They’re hiring engineers who can bridge deep technical capability with real-world business problems. You’ll work directly with enterprise customers to design and deploy AI systems that actually do things — not just generate outputs.
Ideal backgrounds:
- LLMs / RAG / MCP / agents
- Applied AI engineering
- Strong Python engineering fundamentals
- Customer-facing or forward deployed experience
- Builders who move fast and like ownership
Hybrid London (1-2 days onsite). High-performance culture. Sharp people. Massive opportunity.
Artificial Intelligence Engineer in Slough employer: Bounce Digital
Agentic AI is an exceptional employer for Artificial Intelligence Engineers, offering a dynamic work culture that thrives on innovation and real-world impact. With a focus on deploying cutting-edge autonomous AI systems in major global enterprises, employees benefit from significant growth opportunities and the chance to work alongside sharp, high-performance colleagues in a hybrid London environment. The company's commitment to meaningful projects ensures that your contributions will have tangible results, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Slough
✨Tip Number 1
Network like a pro! Connect with folks in the AI space on LinkedIn or at meetups. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate real-world impact. We love seeing practical applications of your work, so make sure to highlight any autonomous systems or multi-agent projects you've tackled.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. We recommend practising common AI engineering scenarios and thinking about how you’d approach customer-facing challenges. Be ready to discuss how you can bridge tech with business needs!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for sharp minds who are eager to take ownership and make an impact in the AI world.
We think you need these skills to ace Artificial Intelligence Engineer in Slough
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your technical skills, especially in Python and AI engineering. We want to see how you can bridge the gap between tech and real-world business problems!
Tailor Your Application:Don’t just send a generic application! Tailor it to our job description by mentioning your experience with LLMs, RAG, or any relevant projects. This shows us you’re genuinely interested in the role and understand what we’re looking for.
Be Customer-Focused:Since we value customer-facing experience, share any relevant stories where you've worked directly with clients or deployed solutions that made a real impact. It’s all about showing us how you can connect with enterprise customers!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Bounce Digital
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAG, and multi-agent systems. Be ready to discuss how you've applied these technologies in real-world scenarios, as the company is looking for engineers who can bridge technical skills with business problems.
✨Showcase Your Python Skills
Since strong Python fundamentals are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that relate to AI engineering to show off your skills.
✨Customer-Facing Experience Matters
If you have experience working directly with clients or deploying solutions in a customer-facing role, highlight this during your interview. The company values engineers who can communicate effectively and understand client needs.
✨Emphasise Ownership and Speed
This role requires a fast-paced mindset and a sense of ownership. Be prepared to share examples of projects where you took initiative and delivered results quickly. Show them you're someone who thrives in a high-performance culture!
