AI Engineer
Raiku
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Tech Stack
About the role
- 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 summarization 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Deep MLLLMLangChainOpenAI APIRustCustom PilotsAI toolsSaaSboilerplate generationintelligent testing agents
Soft Skills
high autonomysystems thinking