Software Engineer at Continue (S23)
$100K - $150K  •  0.10% - 0.50%
Ship faster with Continuous AI
San Francisco, CA, US
Full-time
US citizen/visa only
Any (new grads ok)
About Continue

Continue enables developers to ship faster with Continuous AI. The future of coding isn't writing more code. It's delegating the boring parts, so you can build the interesting stuff.

Developers are drowning in AI-generated code. Continuous AI solves this by automating the workflows around code, not just the code itself. The role of the software engineer is shifting from prompting AI to designing processes that run automatically.

With hundreds of thousands of users, Continue is loved by developers worldwide at organizations ranging from small startups to Fortune 500 companies. Continue has raised $5.1M from Heavybit, Y Combinator, and angel investors. The company was founded in 2023 and is based in San Francisco

We believe the time is now to create a future where developers are amplified, not automated

About the role
Skills: Node.js, React, TypeScript

Continue is seeking an intense and fast-learning engineer to help us build our open-source product, starting by resolving and learning about user problems on GitHub and Discord. In this role, you will shape our open-source IDE extensions by designing, building, and maintaining a product loved by many, including yourself.

About you

Please keep in mind that we are describing the background that we imagine would best fit the role. If you don’t meet all the requirements, but you are confident that you are up for the task, we absolutely want to get to know you!

  • You are proficient in TypeScript, Node.js, and React / Next.js
  • You have a track record of building side projects
  • You are interested in AI engineering or machine learning
  • You are a rigorous thinker capable of tackling difficult algorithmic problems

What you will do

We’re a startup, so you’ll have to be ready to do whatever is required to accomplish our mission. However, you can definitely expect to:

  • Design and implement new affordances for coding with LLMs as new model capabilities emerge
  • Rapidly experiment and design benchmarks to improve autocomplete and codebase retrieval
  • Iterate on the smallest details to make our chat and autocomplete experiences awesome
  • Play a key role in our GitHub and Discord communities by answering questions and resolving problems

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