Brainbase is an AI workflow automation builder designed to handle complex enterprise workflows. Our customers use us to spin up everything from sales autopilots to full fledged customer support workflows in less than a day.

SMBs and unicorns choose us over our competitors because we are the only platform that combines the power of AI with the ease and robustness of an off-the-shelf enterprise tool.

About Brainbase

Brainbase is to AI workers what Retool is to internal tools.

Very soon every company will have an AI workforce working alongside their human team. At Brainbase we let businesses create their own enterprise-grade AI workers. Everyone from SMBs to government agencies are choosing us to create workers that do everything from outbound sales calls to customer support.

Brainbase is built on an entirely new type of AI agent our founder developed during his PhD at Harvard, which allows for more complex workflows on a longer time horizon, enabling us to move entire workloads from human employees to AI workers.

Our company was founded in January 2024 and we already hit our 100K+ ARR milestone and have raised a seed round from YC, 500 Global and other top tier firms, with participation from the founders of Youtube and Hubspot, as well as many top YC alumni.

About the role

At Brainbase, a vital function we provide our customers is the ability to deploy our solutions to our own managed cloud, as well as on private subnets and on-premise. This involves containerizing and deploying our solutions on a multitude of architectures while providing the same amount of reliability and robustness our customers have come to expect from us for all.

In the next few months, we currently have a large number of private and on-premise deployments coming up, which you will be leading point on, containerizing the entirety of our service architecture, creating cloud provisioning scripts and making sure each deployment is easier than the last.

Who’s a good fit?

We think you should apply if the following sounds like you:

• Resourceful – You’ve been known to get a lot done with very little, whether it is time, money or compute
• Resilient – You don’t quit when something is difficult, only when you have realized a better way to do it
• Decisive – You can make informed decisions under stress with incomplete data, and move on to the next task (no hedging)
• L̶i̶k̶e̶ Love difficult problems – You like working at puzzles, chess or anything that you’re not immediately good at
• Fun – You can smile/joke/enjoy yourself through the pain and the slog, and can lift up others even when things are objectively not going well

What we’re looking for?

In addition to the personal qualities mentioned above, this role requires the following:

💻 Must haves

• In SF, or willing to relocate
• US work permit (we do not currently sponsor H1-Bs, OPTs are fine)
• 4+ years of software experience (new grads encouraged since pet projects count)
• Implicit and intuitive understanding of different service architectures
• Excellence in Docker, Kubernetes, AWS (Lambda, EKS, Bedrock, SageMaker, and more), Azure, Terraform (or equivalent)
• Excellence in NodeJS, Python, React, Typescript, NextJS
• Some experience with LLMs (OpenAI API, Langchain, HuggingFace, etc.)
• Demonstration of autonomy and entrepreneurial spirit (side projects, previous companies)

💻 Good to haves

• Previous experience in on-premise deployment, private deployment
• Machine learning research experience
• Previous startup experience

NSFABIQ - Not So Frequently Asked But Important Questions

• 🧠 Why should I join Brainbase and not start my own startup?

  If you’re accepted into our team, there is no question that we believe you’re capable of running your company. In fact you can be sure that we have all the faith in you that you’ll probably start your own unicorn at some point. But startups are (famously) hard, and it’s usually good practice to see how a good one is run before you start your own. This is truer than ever with the current AI boom, where you really want to see what sets a great AI company from a mediocre one.

  As a founding member of our team, you’ll get to experience all the great parts of being a founder (autonomy, talking to customers, shipping, culture creation) without any of the overhead (fundraising, operations, taxes). In the end, if you choose to leave to start your own journey, we’ll do everything we can to support you.

• 🧠 I’d like to join, but I don’t think I’m founding engineer material

  If you’re in doubt, and satisfy the Must Have’s from above, you should apply. We love having exceptional people join our team in any capacity and we might end up seeing something in you that you don’t yet yourself.

• 🧠 What’s the application process like?

  We vary the application process based on what we can already gather from your resume and previous experiences but you should expect (1) a screening phone call, (2) technical screen (take home or over Zoom) and (3) paid trial for a week at the offices.

Our tech stack is divided into two sectors as building the interfaces for businesses to manage their workflows and developing the AI models that run automations.

For our interfaces, we work on the familiar stack of NextJS/React/TypeScript, with MongoDB as our database. We use Tailwind CSS for our styling.

Our backend is dockerized and runs on AWS servers and serverless instances, written in a combination of Node and Python.

For our development, we work with large-language models, primarily in Python, with Pytorch as our preferred ML framework.