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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 with cutting-edge AI technology.
- 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.
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 industry, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI systems and Python engineering. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you can apply your knowledge to real-world business problems, as that's what they'll be looking for!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to find your application and get back to you quickly.
We think you need these skills to ace Remote engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI systems and Python engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about working with us at StudySmarter and how your background in applied AI engineering can help bridge the gap between tech and real-world business problems.
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex challenges, especially in customer-facing roles. We love builders who move fast and take ownership, so let us know how you've made an impact in previous positions!
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 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 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 company is looking for engineers who 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 a problem on the spot, so practice coding challenges that involve AI applications or workflow automation to show off your skills.
✨Customer-Facing Experience Matters
If you've had any customer-facing roles, be sure to highlight those experiences. The company values engineers who can communicate effectively with clients, so think of examples where you've successfully collaborated with customers to solve their problems.
✨Emphasise Ownership and Speed
This role is all about moving fast and taking ownership. Prepare to share instances where you've taken initiative on projects or made quick decisions that led to successful outcomes. This will show that you're a good fit for their high-performance culture.