AI Engineer

Posted 5 hours 14 minutes ago by Raiku

Permanent
Full Time
Other
London, Hackney, United Kingdom, E8 4TA
Job Description
Overview

Stay in the loop. on Twitter for product updates, engineering deep dives, and a closer look at how we're building the future of blockspace.

Job Title

AI Engineer (Strategic R&D & Efficiency)

Reports To

CEO

Focus

Internal Tooling, Developer Experience, Automation

About the Role

We are looking for a Force Multiplier. As Raiku scales, communication overhead and complexity increase. Your job is to use AI to flatten that curve. You will work directly with the CEO to identify high-leverage opportunities where AI can automate workflows, accelerate coding, and streamline operations.

Key Responsibilities
  • Strategic R&D: Partner with the CEO to pilot novel uses of AI within the company. (e.g., "Can we build an agent that automatically updates our SDK documentation whenever the core codebase changes?")
  • Developer Tooling (Rust Focus): Design and build workflows that help our core engineering team ship faster. This might involve setting up Cursor/Copilot workflows, writing custom scripts to auto-generate boilerplate, or creating intelligent testing agents.
  • Cross-Departmental Efficiency: Work with Ops, Talent, and Sales to implement AI tools that remove manual data entry and summarisation tasks.
  • Tech Stack Evaluation: Act as our internal expert on the AI landscape. You decide which tools we buy (SaaS) and which tools we build (Custom Pilots).
Requirements
  • 2+ Years Deep ML/LLM Experience: You know the difference between just "prompt engineering" and actually building robust applications with LangChain, OpenAI API, or local LLMs.
  • Rust Expertise (Preferred): Since our core product is high-performance infrastructure, you need to understand the environment our engineers work in. You should be able to write tools that compile and run in a Rust environment.
  • High Autonomy: You are comfortable being given a vague goal ("Make QA faster") and figuring out the solution from scratch.

Systems Thinking: You view the company as a system. You can spot where information is getting stuck and design the architecture to free it.