Forward Deployed Engineer

Skills: Amazon Web Services (AWS)

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. Brainbase empowers businesses to create predictable, deterministic, enterprise-grade AI agents and deploy them on any communication channel, including voice (you can call them), email, SMS, WhatsApp, Zoom, Slack, and more. Everyone from SMBs to restuarants to government agencies to airlines to private equity is choosing us to create workers that do everything from customer support to interal chat agents with access to entire company data.

Brainbase is built on an entirely new type of AI agent our founder developed during his PhD at Harvard, which allows for stateful, deterministic, realiable, predictable, and highly 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 has raised a seed round from YC, Formus Capital, 500 Global, and other top-tier firms, with participation from the founders of YouTube and Hubspot, as well as many top YC alum.

About the role

As a forward deployed engineer, your primary responsibility is ensuring the success of our enterprise customers as they deploy Brainbase at scale. This is a hands-on, customer-facing role that requires technical expertise, resourcefulness, excellent communication skills, and comfort under pressure.

You will be our customer’s expert and advocate — overseeing custom deployments for everyone from government agencies to airlines to private equity.

Day to day you will be customizing and deploying Brainbase for a diverse set of use cases, building custom integrations, deploying microservices, prompt engineering, talking with prospective, new, and existing customers, and communicating customer feedback to the rest of the team. You will work directly with the engineering & sales team and CEO.

You will also work closely with our partners and sales team as their technical point of contact.

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

• US work permit (we do not currently sponsor H1-Bs, OPTs are fine)
• Excellent communication skills and the ability to communicate complex technical topics in a clear and concise way.
• Experience in NodeJS, Python, AWS, & Typescript.
• Comfortable programming and deploying basic backend services, such as a basic CRUD API.
• Previous experience in a customer-facing role
• Some experience with LLMs (OpenAI API, Langchain, HuggingFace, etc.)
• Demonstration of autonomy and entrepreneurial spirit (side projects, previous companies, software consulting)

💻 Good to haves

• Proficiency in AWS, cloud deployment, CI/CD
• Experience with micro-service based architecture
• Machine learning research experience
• Previous experience in a customer-facing engineering/deployment role
• Previous consulting 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/zoom call, (2) a technical customer role play (over Zoom) (3) A meeting with our Chief of Staff and Engineering Lead and (4) Final meeting with our CEO.