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 TimeReal ownership: You’ll be the architect behind a core AI system, not a feature contributor.Fast-moving environmentImmediate 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 doObsessive 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 forProven 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 pointsExperience 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.
Job Title
Artificial Intelligence Engineer