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For Companies At a Glance
- Tasks: Design and implement cutting-edge AI systems that enhance real-time decision-making.
- Company: Join a venture-backed startup led by an experienced founder with a track record of success.
- Benefits: Flexible remote work across Europe, competitive salary, and the chance to make a real impact.
- Why this job: Own the core AI system and see your code support real users from day one.
- Qualifications: Expertise in Python, FastAPI, and experience with multi-agent frameworks required.
- Other info: Dynamic startup culture with opportunities for rapid career growth.
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 you tailor your answers and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your technical skills! Since you'll be diving deep into AI systems, brush up on your Python and FastAPI knowledge. Consider doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Prepare questions for your interviewers. This shows you're engaged and gives you a chance to assess if the company is the right fit for you. Ask about their tech stack, team dynamics, or future projects.
✨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 that extra step to connect with us directly.
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 Technical Skills: In your application, don’t shy away from showcasing your technical prowess. Mention any frameworks or tools you’ve used, like FastAPI or LangChain, and explain how they relate to the role. We love seeing practical applications!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
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, focus on demonstrating your thought process when tackling complex problems. Use examples from your previous work where you optimised for latency or built agentic frameworks, as this will show you can think critically and practically.
✨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 help you build rapport and demonstrate that you’re a team player.
✨Be Ready for the Founder Chat
When you get to the conversation with the founder, be prepared to discuss your vision for the AI system and how you can contribute to its success. Highlight your startup mindset and willingness to take ownership, as this aligns with what they’re looking for in a candidate.
