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- Tasks: Design and deploy real-world AI systems that drive operational impact.
- Company: Agentic AI, a leader in deploying autonomous AI solutions.
- Benefits: Hybrid work model, competitive salary, and a high-performance culture.
- Other info: Fast-paced environment with ownership and growth opportunities.
- Why this job: Join a sharp team and make a massive impact in the AI space.
- Qualifications: Experience in applied AI engineering and strong Python skills.
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 employer: Bounce Digital
Contact Detail:
Bounce Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Connect with folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs, RAG, or multi-agent systems. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your Python fundamentals and understanding how to apply them in business contexts. Be ready to discuss how you've solved complex problems in previous roles or projects.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for sharp minds who can bridge technical skills with business needs. Your next big opportunity could be just a click away!
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical expertise in AI and Python. We want to see how you can bridge the gap between complex tech and real-world applications, so don’t hold back on showcasing your projects or experiences that demonstrate this.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who understand our mission and can articulate how their background aligns with the role. Customise your application to reflect your understanding of AI systems and their impact on businesses.
Highlight Customer-Facing Experience: If you’ve worked directly with clients or in customer-facing roles, make sure to mention it! We value engineers who can communicate effectively and understand business needs, so share any relevant experiences that showcase your ability to engage with enterprise customers.
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’re considered for the role. Plus, it shows us you’re proactive and keen to join our team!
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 interviewers will want to see that you 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 common algorithms and data structures beforehand to show you're sharp and ready to tackle challenges.
✨Customer-Facing Experience Matters
If you've had any customer-facing roles, be sure to highlight those experiences. Talk about how you've interacted with clients, gathered requirements, and delivered solutions that meet their needs. This will show that you understand the importance of aligning technical work with customer expectations.
✨Emphasise Your Ownership Mindset
The team values builders who move fast and take ownership. Share examples from your past where you've taken initiative on projects or led efforts to implement AI solutions. This will demonstrate that you're not just a coder but someone who drives results and impacts the business.