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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 with a proven founder and innovative culture.
- Benefits: Flexible remote work across Europe, competitive salary, and immediate impact on real users.
- Why this job: Be the architect of a core AI system and make a genuine difference from day one.
- Qualifications: Expertise in Python, FastAPI, and experience with multi-agent frameworks required.
- Other info: Fast-paced environment with opportunities for growth and collaboration in London or Barcelona.
The predicted salary is between 48000 - 72000 £ 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 the Founder.
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.
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 have a deep-dive session with engineers, brush up on relevant technologies like Python and FastAPI. Consider doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 3
Prepare questions for your interviewers. This shows you're engaged and helps you assess if the company is the right fit for you. Ask about their tech stack, team dynamics, or how they measure success in the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re proactive and serious about joining the team.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for artificial intelligence shine through. We want to see how excited you are about tackling real-world problems with AI, especially in a fast-paced startup environment like ours.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to highlight your experience with multi-agent systems and Python development. We love seeing how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we’re looking for someone who can communicate complex ideas simply, just like you would in your role as an AI Engineer.
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 shows you’re proactive and keen to join our team!
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 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.
✨Engage with the Team
In the deep-dive session, don’t just answer questions—ask them too! Show genuine interest in the team’s projects and challenges. This will demonstrate your startup mindset and willingness to collaborate.
✨Connect with the Founder
When you have your chat with the founder, focus on the impact of your work. Discuss how your skills can contribute to the company’s mission of creating a voice-enabled AI copilot. Make it clear that you’re excited about the opportunity to make a real difference.
