🚀 About Rebo AI
We use AI to help companies understand and respond to customer feedback in real-time, at massive scale.
Every company claims to listen to customers, but most are drowning in feedback they can't understand and respond to. Rebo AI continuously analyzes qualitative feedback across all channels, automatically detects emerging issues and trends, and enables instant responses—turning a slow, manual process into dynamic, real-time conversations between companies and customers.
Founded by ex-Microsoft and Google Machine Learning engineers with 17 AI/ML patents, we’ve raised a large seed round and are backed by top-tier institutional investors managing over $1bn in capital. We’re working with companies listed on the NASDAQ, and we’re advised by industry leaders from DeepMind, Google, Expedia, and more.
We’re at the cutting edge of NLP, Unsupervised Learning, and LLMs, working to create a product that leverages AI to turn unstructured data into actionable insights—instantly.
📌 About the Role
We are looking for exceptional founding engineers to help us build state-of-the-art AI algorithms and products at lightning speed.
As a Founding Engineer, you'll be working directly with our CTO, and our talent-dense and fast-moving engineering team to build and scale the platform. You’ll have the opportunity to shape the product, the engineering culture, and the technical foundations of the company.
You’ll be hands-on, working across the stack to rapidly bring new features from concept to production. Whether it's improving our AI-powered classification algorithms, crafting an intuitive frontend experience, or scaling our cloud infrastructure, your impact will be felt across the entire company and by our customers.
✅ What You’ll Do:
- Own and ship full-stack features, from backend implementation of GPU-accelerated ML algorithms to frontend interfaces.
- Develop production-grade AI algorithms, such as real-time issue detection and intelligent user responses that will operate on millions of feedback items daily.
- Build and maintain scalable systems using Python, FastAPI, React, TypeScript, Docker, and Postgres on GCP.
- Collaborate with the founders and customers to define product direction and engineering roadmap.
- Continuously assess the state-of-the-art in AI and take ideas from published research to production.
- Ensure product reliability, scalability, and security as we grow.
- Mentor and guide junior engineers as we expand our team.
🙌 Requirements:
- Expertise in Python.
- Experience with cloud infrastructure and strong understanding of scalable system design and architecture.
- Passionate about AI, its application to products, and its potential to revolutionize the way existing systems work.
- A proactive mindset with the ability to work autonomously, learn, and take ownership of projects from start to finish.
- Passion for working closely with customers to solve real-world problems and build user-centric products.
- Excellent problem-solving skills and ability to work in fast-paced startup environments.
💡 Nice to Have:
- Experience with FastAPI, React, TypeScript, Postgres, and GCP.
- Knowledge of statistical analysis or work on NLP-driven products.
- Contributions to open-source AI/ML projects or research publications.
- Built and scaled products at early-stage startups.
- Experience working on AI/ML-powered platforms, with a focus on LLMs and unsupervised learning a big plus.
- Experience using LLMs to accelerate your own coding and development workflows.
💙 Benefits:
- 📈 Generous equity packages—we want you to share in our success.
- 💰 Competitive salary—paying above market for top talent.
- 🩺 Private health, dental, and vision insurance.
- 🌴 Flexible time off and paid company holidays.
👣 Our Hiring Process:
- Application
- We will review your application to see how your skills and experience align with our needs.
- Introductory Chat
- 30-minute video call. We explore motivations, learn about why you’d be a great fit, and answer questions about us.
- Technical Interview
- 60-minute video call or in-person meeting. We will evaluate the problem-solving skills needed to be successful in the company, minimal live coding required.
- Coding Exercise
- 2-hour take-home. We provide you with data, a fully-configured cloud environment, and an interesting real-world task.
- Team Meeting
- In-person meeting with the team in Seattle (preferred).
- Offer & Celebration 🎉
- If everyone is happy, we’ll make you an offer and pop the champagne after you sign!
We’re committed to building a diverse, inclusive team and welcome candidates from all backgrounds. If you need any accommodations during the interview process, please let us know—we're here to help you succeed.
.png)