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Artificial Intelligence Engineer
Job summary
A venture-backed AI startup is seeking a Senior/Staff AI Engineer to design and implement core multi-agent LLM systems. You will optimize for latency and build FastAPI microservices, integrating real-time voice interfaces. The role requires proven experience with agentic frameworks, expert Python skills, and a pragmatic, speed-driven mindset. This position offers remote work flexibility across Europe, with opportunities for real ownership and immediate impact in production environments.
Benefits
Qualifications
- Proven ability to build and ship agentic or multi-agent frameworks into production.
- Practical experience with FastAPI and asyncio development.
- Ownership, speed, and pragmatism mindset are essential.
Responsibilities
- Design and implement multi-agent LLM systems for reasoning and coordination.
- Develop FastAPI-based microservices emphasising low latency.
- Integrate real-time voice interfaces into conversational flows.
Skills
Tools
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 theFounder.
- 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 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.
- 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.