Artificial Intelligence Engineer

Cubiq Recruitment; Remote; GBP 80,000 - 100,000; Full time

Job summary

A technology recruitment firm is seeking a Senior/Staff AI Engineer to lead the development of a core voice-enabled AI system. This role offers real ownership of system architecture and immediate production impact. Ideal candidates will have expertise in Python, FastAPI, and multi-agent frameworks, alongside a startup mindset. The position supports remote work across Europe, with optional co-working spaces in London or Barcelona. Join a dynamic team and make a real-world impact in applied AI.

Qualifications

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

Responsibilities

• 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 into intelligent conversational flows.
• Instrument and evaluate system performance using observability and model-faithfulness metrics.

Skills

Expert Python

FastAPI

asyncio

Multi-agent frameworks

Low latency optimization

Real-time voice integration

Job description

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

• 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.

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.