AI Engineer

Raiku; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A technology firm is seeking an AI Engineer to work directly with the CEO on strategic R&D to leverage AI for improving efficiency and automating workflows. The role involves designing developer tooling and evaluating AI technologies. The ideal candidate has over 2 years of experience with deep machine learning and preferably expertise in Rust. This position offers an opportunity to influence how AI is integrated into various departments and improve overall operational efficiency.

Qualifications

• 2+ years of experience in deep machine learning or large language models.
• Familiarity with LangChain, OpenAI API, or local LLMs.
• Ability to write tools that function in a Rust environment.

Responsibilities

• Partner with the CEO on strategic R&D for AI applications.
• Design workflows to enhance developer efficiency.
• Implement AI tools across departments to reduce manual tasks.
• Evaluate and decide on AI tools for the organization.

Skills

Deep ML/LLM Experience

Rust Expertise

High Autonomy

Systems Thinking

Job description

Overview

Stay in the loop. Follow @raikucom 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.