AI Engineer

Overview

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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.