Fullstack Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Onsite From the posting source checked Jun 20, 2026

In-office days

5 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Fullstack Engineer San Francisco | OnSite ABOUT THE ROLE 💥 YOUR IMPACT Onyx is a popular open source project with hundreds of thousands of users. The project has over 13K stars and over 3K community members across Slack and Discord (these stats may already be out of date when you read this).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)

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