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Onyx

open-source AI chat · retrieval-augmented generation (RAG)

Fullstack Engineer

San Francisco Bay Area · Onsite$150k–$400k/yrPosted 6 days ago
Software engineeringMid-levelFull TimeSponsorship mentioned
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Opens the source posting on ycombinator.com

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💥 Your impact

Onyx is a popular open source project with hundreds of thousands of users. The project has over 10K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this). You’ll have the opportunity to build in the open and your work may be used by millions of people in the future.

💡 About the role

As an early hire, you'll play a pivotal role in shaping the core product. Help us become the biggest “GenAI for work” application in the world. This is an in-person role based in San Francisco, CA .

You’ll be:

Building a consumer grade UI experience for the GenAI Chat, Enterprise Search, Agents, and Admin features

Extending the backend functionalities and APIs (see below)

Improving the flexibility and quality of the search pipeline, building a semantic understanding of customer organizations, extending the current permission/access controls, and expanding the knowledge curation features

Implementing the latest approaches in NLP research like LLM based Knowledge Graphs, StructRAG, Agent/Deep-Research, etc. to increase the range of questions the system can answer (AI / deep learning experience not required)

Own the entire development cycle of new features, from conception to production

Collaborate with the founders and team to shape and influence the direction of the product and contribute to the engineering strategy

🚀 You’ll be successful if you…

Have 1-5 years (or more) of software engineering experience building real-world applications

Know Typescript/React/NextJS, Python, Relational DBs (Postgres)

Enjoy working in a fast moving startup with low amounts of process

Have excellent communication skills, with a strong ability to collaborate with others (both teammates and external customers)

⭐ Bonus points

Experience with Docker/Kubernetes, cloud technologies (AWS, GCP, Azure), and on-prem/cloud deployments

Experience (or even just interest) in AI (NLP, Deep Learning, GenAI) and information retrieval

Previous founder or early engineer at seed/series-A startup

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