Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement cutting-edge AI systems that revolutionise decision-making and documentation.
- Company: Join a venture-backed startup led by a successful tech founder.
- Benefits: Flexible remote work across Europe, competitive salary, and real-world impact from day one.
- Why this job: Be the architect of a core AI system and make an immediate difference.
- Qualifications: Expertise in Python, FastAPI, and experience with multi-agent frameworks.
- Other info: Fast-paced environment with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
Multi-Agent LLM Systems
Remote (MUST BE IN EUROPE)
We’re partnering with a venture-backed startup led by a founder who has built and taken two technology companies to IPO, now assembling a world-class team to tackle one of the most impactful problems in applied AI.
The company is developing a voice-enabled AI copilot used by professionals to eliminate the friction from documentation and decision-making, a product with genuine, real-world impact that’s already being used in production environments.
They’re now looking for a Senior/Staff AI Engineer to own and evolve the core “brain” service behind this assistant, the system that powers reasoning, retrieval, and dialogue in real time.
Interview Process:
1️⃣ Intro call where we talk about the role.
2️⃣ Technical discussion with the Head of AI.
3️⃣ Deep-dive session with a Backend Engineer and ML Engineer from the team.
4️⃣ 30-minute conversation with theFounder.
Why This Is Worth Your Time
- Real ownership: You’ll be the architect behind a core AI system, not a feature contributor.
- Fast-moving environment
- Immediate impact: Your code will run in production and support real users from day one.
- Technical depth: Multi-agent reasoning, voice-streaming, RAG optimisation and all in one system.
- Flexible setup: Remote across the EU, with optional co-working in London or Barcelona.
What you’ll do
- Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance.
- Design, implement, and productionise multi-agent LLM systems that reason, plan, and coordinate.
- Develop FastAPI-based microservices optimised for low latency and high reliability.
- Engineer and evaluate RAG pipelines: hybrid retrieval, re-ranking, grounding, and context validation.
- Integrate real-time voice interfaces (STT/TTS, WebRTC, LiveKit) into intelligent conversational flows.
- Instrument and evaluate system performance using observability and model-faithfulness metrics.
What we’re looking for
- Proven ability to build and ship agentic or multi-agent frameworks into production.
- Expert Python, FastAPI, and asyncio developer.
- Practical experience with LangChain, Autogen, or custom orchestration layers.
- Startup mindset: ownership, speed, and pragmatism over perfection.
Bonus points
- Experience working with voice or streaming systems (STT/TTS, WebRTC, LiveKit).
- Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking.
- Background in healthtech, fintech, or other compliance-heavy sectors.
Locations
Artificial Intelligence Engineer employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Get to know the company inside out before your interview. Research their products, values, and recent news. This will help us tailor our answers and show genuine interest in what they do.
✨Tip Number 2
Practice common technical questions related to AI and multi-agent systems. We can even set up mock interviews with friends or use online platforms to get comfortable with the format.
✨Tip Number 3
Prepare some thoughtful questions for each stage of the interview process. This shows we’re engaged and helps us assess if the role is a good fit for us too.
✨Tip Number 4
Don’t forget to follow up after the interview! A quick thank-you email can leave a lasting impression and keep us on their radar as they make their decision.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of an AI Engineer. Highlight your experience with multi-agent systems, Python, and any relevant projects that showcase your skills in real-time processing and voice interfaces.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're passionate about AI and how your background aligns with our mission. Share specific examples of your work that demonstrate your ability to innovate and solve complex problems.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving FastAPI or voice-streaming systems, make sure to include them. We love seeing practical applications of your skills, so don’t hold back!
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 this exciting opportunity to make a real impact in AI.
How to prepare for a job interview at Cubiq Recruitment
✨Know Your Stuff
Make sure you brush up on your knowledge of multi-agent LLM systems and the specific technologies mentioned in the job description, like FastAPI and asyncio. Be ready to discuss your past experiences with these tools and how they relate to the role.
✨Show Your Problem-Solving Skills
During the technical discussions, be prepared to tackle real-world problems. Think about how you would optimise for latency and concurrency in a production environment. Use examples from your previous work to illustrate your thought process and solutions.
✨Engage with the Team
In the deep-dive session with the Backend Engineer and ML Engineer, don’t just answer questions—ask them too! Show genuine interest in their work and the challenges they face. This will demonstrate your collaborative mindset and eagerness to contribute.
✨Be Yourself with the Founder
When you have that chat with the Founder, let your personality shine through. They’re looking for someone who fits into their fast-moving environment, so share your passion for AI and how you can bring value to the team. Authenticity goes a long way!
