Founding AI Engineer

Fabrik Talent; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A well-funded AI start-up in London is seeking a Founding AI Engineer to develop innovative AI systems. This role involves building core AI/ML systems, defining best practices, and working with unstructured data. Ideal candidates have 3-6+ years of experience in AI software engineering and are excited about early-stage start-up life.

Qualifications

• 3–6+ years AI software engineering and deployment experience.
• Strong exposure to MLops / LLMops in real-world AI product builds.

Responsibilities

• Build and own core AI/ML systems.
• Architect and scale a product working across messy enterprise data.

Skills

AI software engineering

MLops

data retrieval

Tools

Python

SharePoint

Slack

Outlook

Job description

This range is provided by Fabrik Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Founding AI Engineer | AI Start-up | London (On-Site) | High Equity (1–2%+)

A well-funded, seed-stage AI start-up, founded by ex-top-tier consultants, is hiring its first founding AI engineer to help build a new kind of AI-native knowledge platform.

Already live with its first product and early revenue projected (high six-figure ARR this year), the company is now developing a second, more ambitious system that uses LLMs, RAG, and multi-source data ingestion to solve real problems in a complex, high-value industry.

This is a rare opportunity to join early, build real AI systems, and take ownership of core architecture and product direction.

What You’ll Do

• Build and own core AI/ML systems (Python, MLops/LLMops pipelines, integrations, data retrieval)
• Architect and scale a product that works across messy enterprise data (SharePoint, Slack, Outlook, etc.)
• Define infrastructure and engineering best practices from the ground up

What We’re Looking For

• 3–6+ years AI software engineering and deployment experience
• Strong exposure to MLops / LLMops, ideally in real-world AI product builds
• Experience with unstructured data, search/re-ranking, or retrieval systems (e.g., RAG)
• Excited by early-stage start-up life

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Research

• Industries

  Software Development

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