US or Remote

•

$100,000-200,000k USD (+lots of equity)

•

Engineering & Research

What you'll be doing:
- Working on DeepEval (most used package for LLM evaluation in the world) for both LLM evaluation features and also LLM red teaming features.
- Incorporating the latest research in the features and metrics to our offering and constantly updating it as needed.
- Write content around what you've built in the form of documentation and blog articles for the open-source community.
- Support our open-source community for any questions and help they might need.

You should be able to:
- Read papers, and have a natural curiosity for new research.
- Write clearly, and is an avid reader.
- Code proficiently and quickly in Python and Typescript.
- Work 6 days a week, we're not hiding we expect a lot from you.

Your work will:
- Be used by hundreds of thousands of open-source users, all the way from individual hobbyist to AI leaders at Fortune 500 companies.
- Educate hundreds of thousands of people, that wouldn't otherwise know how to quality assure their LLM applications.
- Be respected and appreciated by the community.

By joining us, you will:
- Be shaping the future of LLM testing and evaluation.
- Learn how to run and do startups, in a relatively safe environment.
- Work closely with the founders, with the possibly of promoted to an executive role in the future.
- Be compensated highly, with generous founding equity. This also means that we expect a lot from you.

US or Remote

•

$100,000-200,000k USD (+lots of equity)

•

Engineering

What you'll be doing:
- Working on Confident AI, the DeepEval cloud platform.
- Scale Confident AI's backend infrastructure to process millions of evaluations a month.
- Deploying Confident AI on-premises for enterprises.
- Support our closed-source customers and help them with anything they might need.
- Occasionally, write interesting content around how you're scaling Confident AI's systems for the developer community.

You should be able to:
- Write SQL, and be an expert in scaling relational database systems (PostgresQL).
- Dockerize distributed, and have experience working with the AWS services such as EKS.
- Conduct on-premise deployments in our customers' cloud providers such as AWS, Azure, and GCP.
- Work with multi-tenant (authentication) systems.
- Follow best data practices to ensure we remain SOCII and HIPAA complied.
- Code proficiently and quickly in Python and Typescript.
- Work 6 days a week, we're not hiding we expect a lot from you.

Your work will:
- Be used by hundreds of engineering teams, all the way from individual developers to Fortune 500 companies.
- Enable hundreds of engineering teams to gain instantly visibility into the performance of their LLM applications that wouldn't otherwise be possible.
- Make DeepEval even more popular (counter-intuitively).
- Be respected and appreciated by our customers.

By joining us, you will:
- Bring LLM testing and evaluation to the largest companies available.
- Learn how to serve enterprise customers as a startup, in a relatively safe environment.
- Work closely with the founders, with the possibly of promoted to an executive role in the future.
- Be compensated highly, with generous founding equity. This also means that we expect a lot from you.