About the role
About Stack AI
- Vision: Democratize access to Large Language Models, so that anyone can build AI-powered applications that generate positive impact to the world.
- Product: A user-friendly and intuitive No-Code platform integrating best AI models (OpenAI, Anthropic, Google, open source), most common data sources (OneDrive, Google Drive, Airtable, Notion) and SaaS (Zapier, HubSpot, etc.). We do the heavy-lifting for you, so you can focus on the product and business.
- Traction: over 100,000 users and 300+ paying customers (including public companies and unicorns!).
- Team: Founded by 2 MIT PhDs, backed by major investors such as Y Combinator and Google, we are now a 6-engineer team.
- Values: Default to action, radical transparency, boldness, and strong opinions loosely-held.
Responsibilities:
We need 10X engineers to make this happen! True wizards that can deliver on a daily basis in the high-paced environment.
In this role, you will...
- Enhance our retrieval-augmented generation (RAG) capabilities, ensuring our models effectively integrate and utilize diverse data sources.
- Work on embedding generation techniques, optimizing them for accuracy and efficiency.
- Keep abreast of the latest developments in AI models, their evolving capabilities, and the complexities of integration. Position yourself as the go-to expert within the team, guiding our end users in crafting their use cases with the most suitable models.
- Collaborate with backend and frontend teams to integrate AI models into products and services.
