Ingeniero Full Stack Sénior

• 5+ years of experience in full stack software engineering.

• Expertise in Python and experience with web frameworks like FastAPI or Django.

• Proficiency in modern frontend development using TypeScript and frameworks such as Nuxt.js, Vue.js, or React.

• Strong experience with cloud platforms, particularly GCP, and containerization technologies like Docker.

• Proven experience designing and working with microservices and RESTful APIs.

• Hands-on experience with CI/CD pipelines, especially GitHub Actions.

• Familiarity with databases such as PostgreSQL and caching systems like Redis.

• A genuine passion for AI and machine learning; direct experience with MLOps or training models like YOLO26 is a major plus.

• Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.

Cutting-Edge, Next-Generation AI Computer Vision Technology: Contribute to building cutting-edge computer vision AI models based on the YOLO framework.

Impactful Work: Shape the future of AI-powered solutions that transform industries.

Collaborative Culture: Join a talented and passionate team that values open communication and innovation.

• Competitive salary: Highly competitive based on experience.

• Equity packages: Participate directly in Ultralytics' growth and success.

• Hybrid flexibility: 3 days per week in our brand-new office - 2 days remote.

• Generous time off: 24 days vacation, your birthday off, plus local holidays.

• Flexible working hours: Tailor your working hours to suit your productivity.

• Tech: Engage with cutting-edge AI projects.

• Gear: Brand-new Apple MacBook Air/Pro, Apple Studio Display, and AirPods Pro 3.

• Team: Become part of a supportive and passionate team environment.

If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity.

As a Senior Full Stack Engineer at Ultralytics, you will be a key player in designing, developing, and scaling the Ultralytics Platform - our end-to-end platform for AI model development. Key responsibilities include:

• Designing and building robust, scalable backend services using Python and FastAPI.

• Developing intuitive and responsive frontend applications with TypeScript and Nuxt.js.

• Architecting and managing our infrastructure on Google Cloud Platform (GCP), leveraging Docker for containerization.

• Implementing and maintaining microservices to support features like cloud training and model deployment for Ultralytics YOLO models.

• Driving our CI/CD strategy using GitHub Actions to ensure rapid and reliable delivery.

• Collaborating with our AI research team to integrate the latest computer vision advancements into the platform.

• Upholding best practices in code quality, testing, and performance, and actively contributing to our open-source ecosystem.

Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models to the community.

This full-time Senior Full Stack Engineer position is based in our Ultralytics office in Shenzhen, China, with a hybrid model of 3 days in-office and 2 days remote.

Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.

Comprehensive guide to our company's mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.

Link: https://handbook.ultralytics.com/