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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 in major enterprises.
- 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 with cutting-edge AI technology.
- Qualifications: Experience in applied AI engineering and strong Python skills required.
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.
Remote engineer employer: Bounce Digital
Contact Detail:
Bounce Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI engineering field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be when it comes to landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs, RAG, or multi-agent systems. This is your chance to demonstrate your technical chops and real-world impact to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI systems. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for sharp minds who can bridge technical capability with business needs. Your next big opportunity could be just a click away!
We think you need these skills to ace Remote 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: In your written application, let us know why you’re excited about deploying autonomous AI systems. Share your thoughts on how AI can solve real business problems and make an impact. We love seeing candidates who are passionate about what we do!
Customer-Facing Experience Matters: If you’ve got experience working directly with customers or in a forward-deployed role, shout about it! We’re looking for engineers who can bridge the gap between tech and business, so share any relevant stories that showcase your ability to communicate effectively with clients.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
How to prepare for a job interview at Bounce Digital
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around 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 needs.
✨Showcase Your Python Skills
Since strong Python fundamentals are a must, prepare to demonstrate your coding abilities. You might be asked to solve problems on the spot, so practice coding challenges related to AI engineering. This will show that you can think on your feet and apply your skills effectively.
✨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, understood their needs, and delivered solutions. This is crucial for a role that involves designing and deploying AI systems for enterprise customers.
✨Embrace the High-Performance Culture
This team values speed and ownership, so come prepared to discuss examples of how you've taken initiative in past projects. Share stories that illustrate your ability to move fast while maintaining quality, as this aligns perfectly with their high-performance culture.