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- 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, competitive salary, and a high-performance culture.
- Other info: Fast-paced environment with massive growth opportunities.
- 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 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. 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 projects, especially those involving LLMs or multi-agent systems. We want to see what you can do, so make sure your work speaks for itself.
✨Tip Number 3
Prepare for interviews by brushing up on real-world applications of AI. We’re looking for engineers who can tackle business problems, so be ready to discuss how your skills can make an impact in production-grade AI.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by us. Plus, we love seeing candidates who take the initiative to reach out directly.
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 your skills can bridge the gap between complex AI systems and real-world business problems.
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific requirements of the AI Engineer role. Mention your experience with LLMs, RAG, and any customer-facing roles you've had.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s relevant to the role.
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 this exciting opportunity!
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. The interviewers will want to see that you can bridge the gap between technical skills and business impact.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific projects where you designed or deployed AI systems that delivered tangible results. This will demonstrate your ability to think critically and apply your skills effectively.
✨Get Comfortable with Customer Interaction
Since this role involves working directly with enterprise customers, be ready to discuss your experience in customer-facing situations. Highlight any instances where you’ve successfully communicated technical concepts to non-technical stakeholders, as this will show your ability to engage with clients.
✨Embrace the High-Performance Culture
Research the company culture and be prepared to discuss how you thrive in high-performance environments. Share examples of how you’ve taken ownership of projects and moved quickly to deliver results. This will resonate well with their emphasis on sharp people who like to take initiative.