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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 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.
- 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 C# Engineer employer: Bounce Digital
Contact Detail:
Bounce Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote C# Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and engineering space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, especially in niche fields like AI.
✨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 it easy for potential employers to see your work in action.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python fundamentals and AI concepts. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Don’t hesitate to follow up after applying; it shows your enthusiasm!
We think you need these skills to ace Remote C# Engineer
Some tips for your application 🫡
Show Your Technical Skills: Make sure to highlight your C# and Python expertise in your application. We want to see how you can bridge technical capability with real-world business problems, so don’t hold back on showcasing your projects or experiences that demonstrate this.
Tailor Your Application: Don’t just send a generic CV and cover letter. We’re looking for candidates who understand our mission at StudySmarter. Tailor your application to reflect how your background in AI engineering aligns with the role and our goals.
Highlight Customer-Facing Experience: If you’ve got experience working directly with customers, make it known! We value engineers who can communicate effectively and understand client needs, so share any relevant experiences that showcase your customer-facing skills.
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 get the attention you deserve. Plus, it’s super easy!
How to prepare for a job interview at Bounce Digital
✨Know Your Tech Inside Out
Make sure you’re well-versed in C# and any relevant AI technologies mentioned in the job description. Brush up on your knowledge of LLMs, RAG, and multi-agent systems. Being able to discuss these topics confidently will show that you’re not just a coder but someone who understands the bigger picture.
✨Showcase Real-World Applications
Prepare examples from your past experiences where you’ve successfully deployed AI systems or solved complex problems. Highlight how your technical skills have made a tangible impact in previous roles. This will demonstrate your ability to bridge technical capability with real-world business challenges.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask them about their current projects and challenges they face with AI systems. This shows your interest in the role and helps you understand how you can contribute to their team.
✨Emphasise Ownership and Fast-Paced Work
Since the company values builders who move fast, be ready to discuss instances where you took ownership of a project or initiative. Share how you thrive in high-performance cultures and can adapt quickly to changing requirements, as this aligns with their expectations.