Software Engineer, AI
Entera- Full Time
- Junior (1 to 2 years)
Salary: $70K - $180K Location Type: Remote Employment Type: FullTime
At Union, we are solving one of the hardest challenges in AI infrastructure today: enabling high-velocity iteration while maintaining seamless production-readiness for AI workloads at scale. Flyte, the open-source project we steward, is the emerging standard for modern data and AI orchestration, with numerous leading technology organizations - like LinkedIn, Spotify, and Gojek - running millions of mission-critical workloads on the platform. We have a deep bench of infrastructure veterans from companies in the Big Three and beyond and a technical founding team who originally created Flyte while at Lyft.
Reporting into our Head of Engineering, you will be accountable for delivering consistent and long-term customer value from Union. We are looking for team members who are innately curious, get joy out of solving complex technical problems, and thrive in collaborative, self-managed environments. The ideal candidate has demonstrated ability to independently debug and troubleshoot issues across the entire infrastructure stack and manage technical operations.
Bonus points if you have:
At Union.ai, we know that employees who feel their best can build amazing things, and we are proud to offer best-in-class benefits that will continually evolve and grow as the needs of our employees do. (Benefits may vary based on country).
Managed platform for ML and data orchestration
Union.ai offers a managed platform for machine learning (ML) and data pipeline orchestration, with its main product, Flyte, designed to handle complex workflows using Python code. Union Cloud simplifies the deployment and management of Flyte, allowing ML engineers and data scientists to focus on their work without worrying about infrastructure. The company serves a range of clients, including large enterprises, and operates on a subscription-based model for its services. Union.ai's goal is to accelerate ML projects by automating processes involved in model development and deployment, resulting in faster time-to-market.