AI Infrastructure Engineer

AI Infrastructure Engineer

Location: London (Hybrid – minimum 3 days/week onsite)

Salary: Up to £80k + potential share options

About the Role 🧠

A fast-growing UK tech group is looking for a hands-on AI Infrastructure Engineer to design and build the systems connecting core platforms (CRM, data lake, business tools) into a unified, AI-ready architecture. This is a greenfield build role — you’ll wire together SaaS tools, automate data flows, and shape the internal AI platform powering future automation and AI copilots.

Why This Role Is Different?

• Greenfield AI infrastructure: build the foundation from zero
• Direct access to decision-makers: no layers of product/PM slowing you down
• Ownership & growth: clear path to Head of AI Infrastructure / AI Platform Lead
• Hybrid London office: minimum 3 days onsite, hands-on role, fast-paced environment

What You’ll Do 🔧

• Design and implement end-to-end data pipelines linking core platforms (CRM → data lake → AI systems)
• Architect schemas and transformation layers optimized for analytics, automation, and AI workflows (RAG/internal copilots)
• Build Python and API integrations , using low-code/no-code tools (Zapier, Make, Matillion) where it speeds things up
• Prototype internal automations and AI-driven tools to streamline operations and M&A integration processes
• Monitor, ensure reliability, and scale integrations and pipelines
• Document and modularize infrastructure for future AI engineers

✅ Must-Haves:

• Python & SQL experience
• Data engineering skills : pipeline design, data modeling, schema development
• Experience with API integrations, webhooks , and low/no-code automation tools (Zapier, Make, Matillion)
• Comfortable in AWS or Azure environments
• Pragmatic, hands-on builder: you ship fast and iterate, rather than waiting for perfect architecture

✨ Nice-to-Haves:

• Experience with CRM platforms (Zoho, HubSpot, Salesforce) and scripting
• Familiarity with Snowflake or modern cloud data warehouses
• Awareness of LLM APIs, RAG concepts, or AI workflow orchestration

Who You Are 🎯

• Early-career to mid-career (2–6 years experience), eager for ownership and growth
• A pragmatic builder who enjoys wiring systems together and making data flow end-to-end
• Hands-on, execution-focused, and comfortable shipping fast rather than waiting for perfect architecture
• Curious about AI and automation, with experience or interest in RAG, internal copilots, or AI workflows
• Able to communicate clearly with technical and non-technical stakeholders

📩 Interested?

If you’re a Python + data + integration engineer who enjoys building AI foundations rather than just maintaining systems, apply now — this role puts you at the centre of a real AI transformation, with your fingerprints on the whole stack.