Stack AI

The platform to build LLM applications (i.e. ChatGPT ) in minutes.

Founding Engineer - Frontend / Full-Stack at Stack AI

$100K - $160K / 0.10% - 1.50%
San Francisco, CA, US
Job Type
3+ years
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Toni Rosinol
Toni Rosinol

About the role

Our Vision

At StackAI, we want to enable any company to build and deploy LLM-powered apps in minutes instead of months.

We have developed a best-in-class no-code drag-and-drop tool to compose and chain AI models (LLMs and others!) with the most common data sources (i.e. Postgres, S3, Notion...), and everyday SaaS tools (i.e. Slack, Discord, Whatsapp, etc). We also give LLMs access to the web, the ability to use other APIs, and even give them access to web scrapers!

Our Traction

We merely launched 3 months ago, and already have 26 paying customers (including public companies and unicorns!) and have a waitlist of 2000 users, and growing at an accelerated pace. Checkout as well our thriving Discord community here:

Our customers are using Stack to build completely automated and highly versatile processes into their core products and services: from chatbots and assistants to semantic search and question/answering, as well as categorization/classification of text, image understanding, and content generation.

The possibilities are endless, but we need YOUR help to make this happen faster :)

You can try the tool here to get a sense of its potential!

Our Team:

Co-founded by two MIT PhDs and backed by Y Combinator, Gradient Ventures, and Soma Capital (among many others!), we provide an unparalleled opportunity to be part of a fast-growing startup from the ground up, as you help us shape the product, culture, and future success of the company while learning about the most advanced AI models on earth.

What we are looking for

We need 10X engineers to make this happen! Both frontend and backend wizards (ideally full-stack developers) that can deliver on a daily basis in the high-paced environment that is our startup.

The ideal candidate has the following qualifications, but we don’t expect candidates to be an expert in all of them.

  • Expertise in front-end development using React + NextJS.
  • Proficiency in design and styling with Tailwind.
  • Expertise in Python.
  • Solid understanding of contemporary deep learning models (GPT, LLAMA, BERT, Whisper, Stable Diffusion, etc).
  • Ability to understand user pains and experiences, and translate them into features and products.
  • Comfort engaging with customers and adapting to a fast-paced iterative environment.

Beyond current skills, what we value the most is your ability to remain curious and open to learning new skills. As a founding engineer, you may need to wear many hats.

Our Tech Stack


  • Typescript
  • React
  • Next.js
  • Tailwind


  • Python (ideally wizard level)
  • FastAPI
  • Supabase (for auth/storage)
  • Databases: Postgres + MongoDB

Machine Learning:

  • Transformers + Embeddings.
  • Fine-tuning + RLHF.
  • Knowledge of data structures: kD-Trees, search algorithms, and their complexity.
  • Pytorch.

What We Offer

  • A competitive salary and equity package, reflecting your contribution to our company's early growth.
  • Comprehensive health, dental, and vision insurance.
  • A collaborative work environment where you can learn from and contribute to a top-tier team.
  • Opportunities for professional growth and development, including mentorship (from two MIT PhDs!), attending workshops, and conferences (Google I/O, etc).

We believe that the best ideas come from a diverse team, and we encourage individuals from all backgrounds to apply. If you're a motivated and ambitious engineer with a passion for technology and a keen interest in being an integral part of a game-changing AI startup, we'd love to hear from you!!

About Stack AI

Stack AI is a no-code drag-and-drop tool to quickly design, test, and deploy AI workflows that leverage Large Language Models (LLMs), such as ChatGPT, to automate any business process.

Our core value is to make it extremely easy to build arbitrarily complex AI pipelines using a visual interface that allows you to connect different data sources with different AI models.

Our customers use Stack AI to build applications such as:

  • Chatbots and Assistants: AI agents that interact with users, answer questions, and complete tasks, using your internal data and APIs.
  • Document Processing: apps to answer questions, summarize, and extract insights from any document, no matter how long.
  • Answer Questions on Databases: connect GPT-like models to databases (such as Notion, Airtable, or Postgres) and ask questions about them.
  • Content Creation: generate tags, summaries, and transfer styles or formats between documents and data sources.
Stack AI
Team Size:2
Location:San Francisco
Bernardo Aceituno
Bernardo Aceituno
Toni Rosinol
Toni Rosinol