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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. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with customers.
✨Tip Number 4
Don’t just apply anywhere; focus on companies that align with your values and interests. Check out our website for opportunities at Agentic AI, where you can be part of a high-performance culture and make a real impact with your work!
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 capabilities in your application. We want to see your experience with LLMs, RAG, and Python engineering fundamentals. Don’t just list them; give us examples of how you've applied these skills in real-world scenarios.
Connect with Our Mission: When writing your application, connect your experiences to our mission of deploying autonomous AI systems. Tell us how you’ve tackled real business problems with AI solutions. We love seeing candidates who understand the impact of their work!
Be Customer-Focused: Since we work directly with enterprise customers, it’s crucial to showcase any customer-facing experience you have. Share stories that demonstrate your ability to communicate effectively and solve problems for clients. We’re all about building strong relationships!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining 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. Companies want to see that you can bridge the gap between technical skills and business needs.
✨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 or explain your thought process behind a previous project. Practice coding challenges related to AI to keep your skills sharp.
✨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. This shows that you can communicate effectively and understand client needs, which is crucial for deploying AI systems.
✨Emphasise Your Ownership Mentality
Companies love builders who take ownership of their projects. Share examples of times when you took initiative, led a project, or solved a complex problem. This will demonstrate your ability to move fast and make a real impact in a high-performance culture.