> Markdown version of [/jobs/ext/2719997-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2719997-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Omni Corporation - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Business Analytics Applications, BigQuery, Data Warehousing, Google Analytics, SQL Databases, Tableau (Software), TypeScript, ReactJS, Snowflake, Kotlin, Looker Analytics, Amazon Redshift - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-engineer-omni-8115983 ## About the Role * 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 * Experience using analytical tools (e.g., SQL, Looker, Tableau, Mode, Amplitude, Google Analytics) Nice to have * Experience building data products and AI-ready interfaces * Familiarity with data warehouses like Snowflake, BigQuery, Redshift * Experience with AI/ML integrations or exposure to building AI-assisted features Our stack: * TypeScript * React with Remix * Kotlin / Java * AWS ## Description This role is 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. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)