Artificial Intelligence Engineer

Multi-Agent LLM Systems Remote (MUST BE IN EUROPE) or Hybrid London/Barcelona 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.

Location: UK, GB

Posted Date: 10/31/2025