AI Engineer

The Role

As an AI engineer, you'll work in a completely new role at the intersection of product, software and artificial intelligence. You'll work on orchestrating language models that we train in-house, data collection, curation, evaluating models, creating hand-crafted supervised fine-tuning data, developing preference optimization datasets, and model unit tests. You'll contribute to our end-user product, improving user experience through your work on our models, data, and model orchestration. Some projects may include: LLM memory, manipulating training data using language models, improving our voice-to-voice UX, or working on our RAG stack.

Your work will involve the frontend, backend, ML and data stack. You'll work with a product team with strong machine learning experience, as well as conversational designers, writers, and psychotherapists - all working together to deliver on our mission to our end-users. Your work with a modern tech stack - ML in Python, web in React/Typescript, backend in Kotlin, and a mobile app in Flutter. You’re not expected to know all of those going in - but you will learn those tech stacks quickly. 

About you

• You’ve shipped full-stack applications zero-to-one and have design-driven sensibilities.

• You’re fluent in multiple general-purpose programming languages (e.g. Kotlin, Swift, Typescript, Rust, etc.). You have an appreciation for what good code looks like, but you’re tech stack agnostic.

• You like being a generalist, and a team player, want to own what you build, love solving really hard problems, and are driven by building a world-class product.

• You can ship fast. We work at lightning speed.

Requirements:

• 3+ years of full-stack experience

• Experience with React, Typescript

• Based in NY/London

Why you should take this job:

• You really like to build. You can build prototypes really quickly. Your timeline to ship v1s is days, not months.

• You’re incredibly interested in how language models work. You’ve built at least a few side projects with LLMs and want to be at the cutting edge of the field.

• You want direct exposure and mentoring from a founding team with a successful exit and track record (Neil scaled Casper through IPO)

• You care about our mission, and are willing to do what it takes to make it happen

Why you shouldn’t take this job:

• You don’t like throwing code away

• You need clear guidance on every part of what you’re building.

You’ll learn a ton from experienced founders and teammates and work at an incredibly fast pace to ship, learn, and iterate. Even if you don't meet 100% of our criteria, we encourage you to apply if you think you can learn the rest on the job.