AI Senior Software Engineer

Job Description

We're looking for a Senior Software Engineer (Applied AI) to join one of several exciting product initiatives currently in progress that leverage the latest in AI, particularly using Large Language Models (LLMs). One example project is extending our AI CoPilot product (currently only available in Heap) to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them.

We are moving rapidly  to leverage LLMs to reduce time to insight, make setup easier, and much more.
As our next Senior Software Engineer (Applied AI), you will be focused on product development, with a side of early product iteration. For example, we expect engineers to participate in user interviews as we validate product hypotheses.

This is an exciting opportunity to work in a “startup within the startup.” We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers.
As LLMs and the related technologies are growing and changing rapidly, we are enthusiastic about new ideas and libraries but discerning – what we build is foundational.

We're a distributed team that operates across the US and Europe. We're open to hiring the right person anywhere within the US East Coast time zone or Europe.


What we’re looking for
  • Desire to work in a fast-paced development environment where the customer is in the loop. We prefer to fail fast and start over than to learn too late that we’ve built the wrong thing.
  • Extensive fullstack web application development experience (5+ years), preferably in a data-related industry
  • Strong opinions, weakly held about how to evaluate the performance of an LLM-based application
  • Experience bringing an application built on top of LLMs from inception to market
  • Ability to iterate/prototype rapidly to answer data-related using LLMs (and other ML when appropriate)
  • Awareness of what LLMs are good at, what they’re not good at, and how to navigate this
  • Familiarity with various LLM providers and their relative tradeoffs
  • Familiarity with a variety of LLM models and their relative tradeoffs
  • Our product tech stack is primarily Typescript, with a variety of front-end frameworks (React, Vue, etc.)