Job Description

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