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Senior software engineer - ai platform

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Summary

Senior software engineer on a remote-first AI platform team: design, build, and scale backend services, APIs, and data pipelines that power ML model training and inference, working alongside AI researchers. Core stack: Python/Go/Java on cloud platforms with Docker and Kubernetes.

About the Role

Our client is seeking a talented and experienced Senior Software Engineer to join their remote-first AI Platform team. This role focuses on building and scaling the infrastructure that powers cutting-edge AI and machine learning applications. You will design, develop, and maintain robust, high-performance software systems, working closely with AI researchers and data scientists to enable their work. This is an exceptional opportunity to contribute to a critical platform that underpins the company's AI strategy, working from anywhere in the world within a collaborative and forward-thinking engineering culture. You will have the chance to tackle complex technical challenges and influence the architecture of our AI infrastructure.

Key Responsibilities Design, develop, and deploy scalable, reliable backend services and APIs for the AI platform. Implement and optimize data pipelines for large-scale machine learning model training and inference. Collaborate with AI/ML teams to understand their needs and provide robust software solutions. Write clean, well-tested, and maintainable code, participating actively in code reviews. Troubleshoot and resolve complex technical issues in production environments. Requirements Bachelor's degree in Computer Science or a related field. 5+ years of professional software engineering experience, with a focus on distributed systems and backend development. Strong proficiency in programming languages like Python, Go, or Java. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes). Familiarity with AI/ML concepts and frameworks is highly desirable for this role. Benefits Competitive salary and equity options. Fully remote work environment, offering flexibility and autonomy. Comprehensive health, dental, and vision insurance. Generous budget for professional development, training, and conferences. Opportunity to work on impactful AI projects with a talented global team.

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