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
Skills Required
- Experience working on enterprise or B2B AI products
- Foundational machine learning experience through research, school internships, or full-time work
- Track record of shipping production code in a shared team codebase
- Experience with large language models and AI platforms
- Experience building agent frameworks and evaluating models or agents
- Hands-on experience coordinating multi-step AI agent systems
- Experience with 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
- Strong ownership and clear communication
- Comfort making decisions with incomplete information
- Ability to move quickly and carefully while learning new technologies
- Software engineering experience at high-growth technology companies or startups
- Published machine learning research
- Familiarity with an agent orchestration framework
- Two to four years of experience
What We Do
Raydar is a talent acquisition and business consulting firm that connects world-class and emerging talent with growing organizations. It supports companies through team development, strategic hiring, and customized growth solutions, helping clients recruit roles such as engineers, product managers, executives, legal counsel, and quantitative traders. Raydar focuses on understanding each organization’s needs, culture, and long-term goals to build high-impact teams.
