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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 ownership and growth opportunities.
- Why this job: Join a sharp team making 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.
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 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 industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI systems or C#. This gives potential employers a taste of what you can do beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by diving deep into the company’s tech stack and recent projects. Tailor your answers to show how your experience with LLMs or multi-agent systems can solve their real-world business problems.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
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. Take the time to tailor your application to our job description. Mention specific technologies like LLMs, RAG, and your experience with AI systems. This shows us you’re genuinely interested in the role!
Highlight Customer-Facing Experience: If you've worked directly with clients or in customer-facing roles, make sure to mention it! We value engineers who can communicate effectively and understand business needs, so share any relevant experiences that showcase this skill.
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 noticed. Plus, it’s super easy – just follow the prompts and let us see what you’ve got!
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 technologies mentioned in the job description, like LLMs and RAG. Brush up on your Python fundamentals too, as they’re crucial for this role.
✨Showcase Real-World Applications
Prepare examples of how you've applied AI engineering to solve real business problems. Be ready to discuss specific projects where you’ve designed or deployed systems that had a tangible impact.
✨Understand Their Business
Research Agentic AI and their approach to deploying autonomous AI systems. Knowing their mission and recent projects will help you tailor your answers and show genuine interest in their work.
✨Emphasise Your Ownership Mindset
Highlight experiences where you took ownership of projects or initiatives. This role values builders who move fast, so share stories that demonstrate your ability to drive results independently.