About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Design and ship software systems layered on top of existing large language models, with emphasis on quality measurement and dependable production behavior of autonomous AI features. This is a hands-on staff-level position with broad ownership over both technical approach and product direction. It does not involve training models from scratch.
What you'll do
- Create end-to-end evaluation frameworks that track and raise the quality of AI agents.
- Prototype newer agentic approaches, including multi-agent designs and learning from feedback.
- Develop supporting services and coordination components that keep agents stable once deployed.
- Follow current research on language models and agents, and turn promising ideas into practical experiments.
- Take ownership of major parts of the product early on and help set how the team builds agent systems.
Requirements
What we're looking for
- Staff-level experience in an early-stage, 0 to 1 B2B SaaS startup environment; startup experience is essential.
- Hands-on experience working with AI agents.
- Experience experimenting with agentic techniques such as multi-agent systems.
- Strong proficiency in Python.
- Extensive experience building in ML and AI, with practical skill in prompting language models.
- An undergraduate degree in computer science from a highly ranked school.
- Clear communication, both written and in person.
- Drive, grit and a strong sense of ownership.
Bonus points
- Master's or PhD in AI, ML or language models.
- Previous experience as a founder or early engineer.
Benefits
Compensation and benefits
- Base salary: USD 225,000 to 350,000 per year
- Equity
- Health, dental and vision coverage
- Retirement plan
- Flexible time off
Location and work model
- San Francisco, California, United States
- On-site, 5 days per week in office
- Full-time
Skills Required
- Staff-level experience in an early-stage 0-to-1 B2B SaaS startup environment
- Hands-on experience working with AI agents
- Experience experimenting with agentic techniques such as multi-agent systems
- Strong proficiency in Python
- Extensive experience building in machine learning and artificial intelligence
- Practical skill in prompting language models
- Undergraduate degree in computer science from a highly ranked school
- Clear written and verbal communication
- Drive, grit, and strong ownership
- Master's or PhD in AI, machine learning, or language models
- Previous experience as a founder or early engineer
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.
