Founding Machine Learning Engineer

About the company Our client is a software company. The role Raydar is recruiting for this role on behalf of our client. Take ownership of a brand-new product and the infrastructure behind it, building AI-powered systems that run reliably in production. Partner directly with customers and help set engineering standards, team culture and the technical direction. What you'll do - Design an AI agent layer with built-in review and validation steps before outputs reach people or other systems. - Build secure connectors and a runtime that can interpret complex enterprise software environments. - Create developer-facing tooling and a code analysis capability for modernizing older codebases. - Set up low-latency model serving with detailed monitoring of usage and performance. - Take language-model pipelines, information retrieval and light model tuning from prototype to production where they add clear value. - Collaborate directly with customers on high-impact projects. - Help shape the engineering bar, team culture and product roadmap. Requirements What we're looking for - Experience working on enterprise or B2B AI products. - Foundational machine learning experience, whether from research, school internships or full-time work. - A track record of shipping production code in a shared team codebase. - Experience with large language models and AI platforms, including building agent frameworks and evaluating models or agents. - Hands-on experience coordinating multi-step AI agent systems and retrieval-based approaches. - Bachelor's degree in computer science or machine learning from a top-tier university. - Regular use of AI tools in daily work, with practical views on how they can improve engineering and operations. - Strong ownership, clear communication and comfort deciding with incomplete information. - Ability to move quickly and carefully, and willingness to pick up new technologies. Bonus points - Software engineering experience at high-growth technology companies or startups. - Published machine learning research. - Familiarity with an agent orchestration framework. - 2 to 4 years of experience is the ideal range. Benefits Compensation and benefits - Base salary: USD 175,000 to 300,000 per year - Equity Location and work model - San Francisco, CA, United States - On-site, 5 days per week in office - Full-time