Avatar for Omni
The fastest way to turn SQL into scalable analysis

AI Engineer

Posted: 2 months ago
Job Location
Remote Work Policy

In office - WFH flexibility

Visa Sponsorship

Not Available

RelocationAllowed
Skills
Javascript
TypeScript

About the job

About Omni

Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.

Our team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.

If you like helping people get more from their data, come build with us. We’d love to hear from you.

About the Role

We are looking for an AI Engineer who will be focused on building and optimizing our agentic AI analyst, giving you the chance to tune agent behavior, measure agent performance, and add capabilities.

You'll be working on a team with deep experience in the field, and you'll have the autonomy to prioritize and solve problems by yourself or in collaboration with other members of the team.

All software engineers at Omni operate across our technology stack to solve customer problems, and our engineering culture is focused on shipping quickly and iteratively while maintaining high bars for performance and quality. We develop with AI and coding agents, but we expect our engineers to know when to trust their agent, when not to, and when to not even bother asking.

About You

  • Strong technical and communication skills
  • 3-10+ years of experience building production software, proficiency in TypeScript or JavaScript
  • Strategic thinking and the ability to balance business and product goals with velocity and engineering excellence
  • Hands-on experience shipping LLM systems in production, working on some or all of these topics: agent harnesses, context management, retrieval, eval, or post-training.
  • Experience doing data analysis

Nice to Haves

  • Experience building data products and AI-ready interfaces
  • Familiarity with data warehouses like Snowflake, BigQuery, Redshift

Our stack:

  • TypeScript
  • React with Remix
  • Kotlin / Java
  • AWS

**Omni is an equal opportunity employer.* We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.*

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