Artificial Intelligence Engineer

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.

• Intro call where we talk about the role.
• Technical discussion with the Head of AI.
• Deep-dive session with a Backend Engineer and ML Engineer from the team.
• 30-minute conversation with the Founder.

• 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.

• Obsessive about latency, you think in milliseconds, optimise for concurrency, and understand the trade-offs between speed, cost, and model performance.
• Design, implement, and product ionise 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, Live Kit) into intelligent conversational flows.
• Instrument and evaluate system performance using observability and model-faithfulness metrics.

• Proven ability to build and ship agentic or multi-agent frameworks into production.
• Expert Python, FastAPI, and asyncio developer.
• Practical experience with Lang Chain, Autogen, or custom orchestration layers.
• Startup mindset: ownership, speed, and pragmatism over perfection.

• Experience working with voice or streaming systems (STT/TTS, WebRTC, Live Kit).
• Exposure to evaluation tooling, LLM-as-judge setups, or agent benchmarking.
• Background in healthtech, fintech, or other compliance-heavy sectors.