AI Engineer

Oakland, CA (or remote within US timezones). Posted 29 months ago

The role

An AI Engineer will manage the prompting, invocation, and management of ML models. You will work on backend implementation for the living document and build scalable, resilient features.

What you will do

Backend implementation of the living document
Work on, curate, extend, and improve the backend part of living document technology
Prompt, invoke, respond to, and manage the suite of different ML models
Build Elicit into a product researchers can't live without
Ship useful, exciting features to users on a weekly basis
Balance shipping features in the short term with building extensible and maintainable systems
Ensure features in production are scalable, resilient, and easy to operate
Contribute to discussions around system design, performance evaluation, and architecture

Required qualifications

Strong technical aptitude with strong computer science fundamentals
Ability to move comfortably around the back-end tech stack
Genuine curiosity and enthusiasm for the capabilities of language models
A defensive, fault-first mindset
Above-average communication skills
Knowledge of the difference between anyio, trio, and asyncio
Knowledge of what the await keyword does in JavaScript
Knowledge of what a Kubernetes pod is and how it differs from a container
Ability to manage state when using an LLM to power a conversation

Benefits

Flexible work environment
Fully covered health, dental, vision, and life insurance for you and generous coverage for family
Flexible vacation policy with a recommendation of 20 days/year plus company holidays
$200 monthly wellbeing stipend
401K with a 6% employer match
New Mac plus $1,000 budget for workstation or home office in first year, then $500 every year thereafter
$1,000 quarterly AI Experimentation & Learning budget
Team administrative assistant

About the company

Elicit is an AI research assistant that uses language models to help researchers figure out what's true and make better decisions. It is a scalable ML system based on human-understandable task decompositions.