Omni (omni.co) Logo

Omni (omni.co)

AI Engineer

Reposted 2 Months Ago
Remote
Hiring Remotely in United States
160K-270K Annually
Mid level
Remote
Hiring Remotely in United States
160K-270K Annually
Mid level
This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.
The summary above was generated by AI
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

Why Join Us
  • Passionate, supportive team with extensive experience in the space (including founders from Looker and Stitch Data) all working together to win as a team

  • Fully paid medical insurance for employees, plus vision and dental coverage

  • 401(k) Plan

  • Flexible PTO

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.

Similar Jobs

Yesterday
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Owns technical relationships with enterprise customers throughout Moveworks implementations. Designs AI solutions, architectures, integrations, workflows, and automations using enterprise platforms, APIs, iPaaS tools, and scripting languages. Advises customers on agentic AI roadmaps, supports adoption, creates reusable solutions, and collaborates with engineering and product teams. This customer-facing role requires strong communication, solution architecture, integration expertise, and travel up to 25%.
Top Skills: Aws LambdaAzure FunctionsContext EngineeringGoJavaScriptJira Service DeskLinuxLlmsMoveworks PlatformOktaPrompt EngineeringPythonRest ApisServicenowServicenow Flow DesignerWindowsWorkatoWorkdayZendesk
3 Days Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
179K-319K Annually
Senior level
179K-319K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead the design and implementation of AI initiatives for edge devices. Develop and optimize machine learning solutions using large-scale sensor, video, text, diagnostic, transaction, and location data. Partner with engineering and business teams to prototype AI experiences, ship production systems, adopt research advances, and improve edge model performance. Mentor ML engineers and communicate technical concepts to varied audiences.
Top Skills: C++Computer VisionEdge AiEdge ComputingIotMachine LearningMl Model OptimizationPythonRust
3 Days Ago
In-Office or Remote
130K-155K Annually
Mid level
130K-155K Annually
Mid level
AdTech • Digital Media • eCommerce • Marketing Tech
Build and operate production AI agents and automated workflows for business teams. Develop trusted data foundations on Databricks, integrate SaaS and internal systems through APIs and orchestration tools, and implement evaluation, monitoring, cost, latency, and failure instrumentation. Partner with Data Engineering, Data Science, Core Engineering, and business stakeholders to deliver reusable agent components, APIs, documentation, and production workflows handling regulated consumer data.
Top Skills: Agent SdkSparkClaude CodeClaude Developer PlatformConfluenceDatabricksDatabricks AppsDatabricks GenieDatabricks Mosaic AiDatabricks WorkflowsDelta LakeGithub ActionsGithub CopilotHubspotJIRALakebaseLakeflowLakeflow ConnectMcp ServersModel ServingN8NNetSuiteOauthPythonRest ApisSQLUnity CatalogVector SearchWebhooksZendesk

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account