Senior Software Engineer

Summary

Join our newly formed AI Foundations Team as a Senior Engineer I and be an essential contributor to building our core AI infrastructure. This role involves hands-on development of our AI Platform, Services, and Governance layers, enabling scalable access to AI models and tooling for the entire organization. You will collaborate with Product, Engineering, and Data Science teams to create and refine solutions for our enterprise AI strategy. The position requires significant software development experience, proficiency in distributed systems, and familiarity with AI/ML frameworks and cloud platforms. We offer competitive salaries, equity, generous perks, hybrid flexibility, and comprehensive benefits. While based in NYC or Boston, remote work may be considered for specific locations.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field (or equivalent practical experience)
• 5+ years of software development experience, with a proven ability to deliver high-quality, scalable software in a fast-paced, innovative environment
• Proficient in developing distributed systems, services, and cloud-based applications
• Familiarity with AI/ML frameworks (such as TensorFlow, PyTorch) and practical experience working with cloud platforms (AWS, Azure, GCP)
• Experience with containerization technologies and CI/CD practices
• Experience with Infrastructure as Code (IaC)
• Strong analytical and problem-solving skills with a proactive, hands-on approach
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams

Responsibilities

• Design, develop, and maintain core components of our AI Platform, including modules for model profiling & benchmarking, programmatic access, evaluation tooling, and knowledge graph integration
• Contribute to building robust pipelines that support both experimental and production-level AI models
• Work closely with diverse teams to gather requirements, iterate on features, and ensure that platform solutions meet broad organizational needs
• Develop proofs-of-concept and prototypes to validate new technical approaches quickly and efficiently
• Write clean, maintainable, and well-tested code, ensuring high system performance and reliability
• Support the implementation of cloud-native architectures, containerization, and modern CI/CD pipelines to foster continuous integration and deployment
• Contribute to the development and adoption of best practices and coding standards, particularly in the context of AI model governance and scalable infrastructure
• Stay abreast of industry trends and innovative techniques used by leading startups to democratize AI and build next-generation platforms

Preferred Qualifications

Prior experience with AI model governance or platform infrastructure projects is a plus

Benefits

• Equity
• Generous perks
• Hybrid flexibility
• Comprehensive benefits