Software Engineer (Full-stack)

About Deeploy: Deeploy builds a platform for responsible AI, making the deployment of machine learning models easy and robust while providing features like explainability, monitoring, and human feedback loops. We strive to make AI transparent, manageable, traceable, and reproducible for everyone.

About The Role: We are seeking a full-stack software engineer (with an emphasis on front-end) to join our team. You will not only develop front-end applications but also get hands-on with DevOps and machine learning operations. This role offers the chance to work at the forefront of AI technology while making a significant impact on our platform.

Key Responsibilities:

• Design and develop full-stack applications using TypeScript, Angular, and NestJS
• Contribute to DevOps practices and ML operations implementation
• Collaborate with cross-functional teams to define and implement features
• Ensure high code quality and maintainability
• Troubleshoot and debug production issues
• Optimize application performance and scalability
• Stay up-to-date with emerging technologies and industry trends

Required Skills and Ideal Candidate:

• Proven experience as a full-stack software engineer
• Strong proficiency in TypeScript, Angular, and NestJS
• Experience with Python and containerization technologies like Kubernetes
• Familiarity with DevOps practices and ML operations
• Excellent problem-solving skills and attention to detail
• Ability to work collaboratively in a fast-paced environment
• Passion for responsible AI and ethical technology development

What We Offer:

• Competitive salary and benefits package
• Flexible hybrid work arrangement (onsite hybrid)
• Opportunity to work with cutting-edge AI technologies
• Collaborative and inclusive team culture
• Growth opportunities within a rapidly growing company
• Chance to make a meaningful impact on responsible AI development

This position offers a full-time employment arrangement with the possibility of equity participation. The role requires a combination of technical expertise and collaborative skills to help shape the future of responsible AI deployment and governance.