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For Companies At a Glance
- Tasks: Use AI to streamline workflows and enhance developer experience.
- Company: Join a forward-thinking tech company focused on innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Why this job: Make a real impact by automating processes and improving efficiency.
- Qualifications: 2+ years in ML/LLM, Rust expertise preferred, and strong problem-solving skills.
- Other info: Work closely with the CEO in a dynamic, collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
Overview
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.
AI Engineer employer: Raiku
Contact Detail:
Raiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Raiku. A friendly chat can open doors that a CV just can't. Use LinkedIn or Twitter to connect and engage with their posts.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Rust or automation. Share it during interviews or even on social media to catch the eye of hiring managers.
✨Tip Number 3
Prepare for the interview by understanding Raiku's tech stack and their approach to AI. Dive deep into their products and think about how you can contribute to their goals. This will show you're genuinely interested!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team. Don’t forget to follow up after applying to keep your name fresh in their minds.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI shine through! We want to see how you can bring innovative ideas to the table, especially in automating workflows and enhancing developer experiences.
Tailor Your Experience: Make sure to highlight your relevant experience with ML/LLM and Rust. We’re looking for someone who can hit the ground running, so connect your past projects to the responsibilities listed in the job description.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Show us that you can communicate complex ideas simply, just like you would in a team setting.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Raiku
✨Know Your AI Stuff
Make sure you brush up on your deep ML and LLM knowledge. Be ready to discuss specific projects you've worked on, especially those involving LangChain or the OpenAI API. They’ll want to see that you can go beyond just prompt engineering.
✨Show Off Your Rust Skills
Since Rust expertise is preferred, be prepared to talk about your experience in this area. Think of examples where you've designed workflows or tools in a Rust environment. If you can demonstrate how your work has improved efficiency, even better!
✨Think Like a Problem Solver
They’re looking for someone who can tackle vague goals and turn them into actionable solutions. Prepare to share examples of how you've approached complex problems in the past and what strategies you used to find effective solutions.
✨Understand the Bigger Picture
Demonstrate your systems thinking by discussing how you view the company as a whole. Be ready to explain how you can identify bottlenecks in communication or workflow and propose AI-driven solutions to streamline operations across departments.
