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- Tasks: Design and deploy cutting-edge AI systems that solve real-world business problems.
- Company: Agentic AI, a leader in deploying autonomous AI systems for global enterprises.
- Benefits: Hybrid work model, competitive salary, and a high-performance culture.
- Other info: Fast-paced environment with ownership opportunities and career growth.
- Why this job: Join a sharp team making a massive impact with production-grade AI solutions.
- Qualifications: Experience in applied AI engineering and strong Python fundamentals.
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:in (m/w/d) employer: Bounce Digital
Contact Detail:
Bounce Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI engineering space, especially those working with autonomous systems. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs, RAG, or any applied AI engineering work. This will give potential employers a taste of what you can do and how you can solve real-world business problems.
✨Tip Number 3
Prepare for interviews by brushing up on your Python fundamentals and understanding multi-agent systems. Be ready to discuss how you've tackled challenges in previous roles, especially in customer-facing situations. We want to see that you can bridge tech with business needs!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us!
We think you need these skills to ace Remote Engineer:in (m/w/d)
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your technical capabilities, especially in Python and AI engineering. We want to see how you can bridge the gap between tech and real-world business problems, so don’t hold back on showcasing your projects!
Tailor Your Application: Take a moment to customise your application for us. Mention specific experiences that relate to deploying AI systems or working with enterprise customers. This shows us you’re genuinely interested in the role and understand what we do.
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. Make it easy for us to see why you’d be a great fit!
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’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 company is looking for engineers who 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 coding challenges that relate 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 or experiences, be sure to highlight them. The company values engineers who can communicate effectively with clients, so share examples of how you've successfully collaborated with customers to deliver solutions.
✨Embrace the High-Performance Culture
This team thrives on speed and ownership, so come prepared to discuss how you’ve taken initiative in past projects. Share stories that illustrate your ability to move fast and make impactful decisions, as this aligns with their high-performance culture.