Full-Stack Engineer (Front-End Leaning)
ElevenLabsFull Time
Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates should possess 4+ years of professional software engineering experience with a strong focus on front-end development, alongside backend and infrastructure work. A Bachelor's degree in Computer Science or a related field is required. Proficiency in React, TypeScript or JavaScript, and familiarity with front-end build tools like Webpack or Vite are essential. Experience with AWS is required, and knowledge of NodeJS for server-side development is expected. A strong foundation in data structures and algorithms, with an emphasis on performance optimization, is necessary. Prior experience with React's core principles, including component architecture, state management, and hooks, is also required. Familiarity with other cloud platforms and knowledge of ML concepts and frameworks are preferred.
The Full-Stack Software Engineer will leverage experience in backend and frontend technologies to create high-quality, scalable, and maintainable code and APIs. They will employ their understanding of developer tools to influence the development of user-centric features that address the needs of data scientists and engineers. This role involves contributing to architectural decisions, participating in code and design reviews, and ensuring the highest standards of quality and performance. The engineer will also demonstrate excellent communication skills, a bias towards making an impact, and the ability to pick up work that needs to get done. They will work as part of a team and are expected to tackle large and ambiguous problems independently.
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.