Artificial Intelligence Engineer

Cubiq Recruitment; Remote; GBP 60,000 - 87,000; Full time

Job summary

A leading tech recruitment agency is seeking a Senior/Staff AI Engineer to develop and enhance a voice-enabled AI copilot. This role offers the opportunity to design and implement cutting-edge multi-agent systems, ensuring low latency and high system reliability. The successful candidate will join a fast-paced startup environment, where they can have an immediate impact by deploying their code in production. The position offers flexible remote work arrangements across Europe, with optional coworking in London or Barcelona.

Qualifications

• Proven ability to build and ship agentic or multi-agent frameworks into production.
• Expert knowledge in Python, FastAPI, and asyncio.
• Startup mindset prioritizing ownership and speed.

Responsibilities

• Design and produce multi-agent LLM systems for reasoning and coordination.
• Develop FastAPI-based microservices for low latency and high reliability.
• Integrate real-time voice interfaces into intelligent conversational flows.

Skills

Proven ability to build and ship agentic or multi-agent frameworks into production

Expert Python

FastAPI

asyncio

Practical experience with LangChain, Autogen

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:

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 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.