AI Engineer
Builds backend systems integrating LLMs for AI research tools like living documents, focusing on prompting, model management, scalability, and fault-tolerance. Requires strong backend skills in Node/Python/K8s and enthusiasm for language models.
About the job
What you'll own
- Backend implementation of our "living document"
- Work on, curate, extend, and improve the backend part of that technology. This is fascinating and challenging distributed systems work.
- Building Elicit into a product researchers can’t live without
- Ship useful, exciting features out to users on a weekly basis. Focus on the code which exists between the BFF endpoints and the ML models we use.
- Work on a mix of known features / fixes, prototypes to validate ideas, and exploratory projects in between.
- Keeping Elicit’s bar for quality high
- Balance shipping features in the short term with building extensible and maintainable systems.
- Responsible for your features in production: they need to be scalable, resilient, and easy to operate.
- Contribute to discussions around system design, performance evaluation, and architecture.
What you bring to the role
- Strong technical aptitude that allows you to move comfortably around our back-end tech stack, with strong computer science fundamentals.
- Genuine curiosity and enthusiasm for the capabilities of language models.
- Defensive, fault-first mindset.
- Above-average communication skills.
- Sense of joy in what you do.
Compensation, benefits, and perks
- Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking events
- Fully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your family
- Flexible vacation policy, with a minimum recommendation of 20 days/year + company holidays
- 401K with a 6% employer match
- A new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter
- $1,000 quarterly AI Experimentation & Learning budget
Skills
Node.js, Python, Kubernetes, Next.js, TypeScript, LLMs, Asyncio, Trio, Anyio, Distributed Systems
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