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