About the company
Our client is a fast-growing software company.
The role
Raydar is recruiting for this role on behalf of our client. Lead customer implementations of AI-powered software from initial scoping through launch, working directly with client stakeholders and writing code when needed. Blend hands-on engineering with relationship management, and pass practical lessons back to the product engineering group.
What you'll do
- Deploy AI systems into production for customers, owning each engagement from scoping to go-live.
- Act as the main contact for senior client stakeholders and build lasting, trusted relationships.
- Design, build and refine AI agents, including prompt engineering, model integration and rapid prototyping with AI-assisted coding tools.
- Scope and develop new features that help customers scale their usage.
- Work alongside client technical teams to connect the product to their existing systems through APIs.
- Partner with internal platform engineers so releases land smoothly, and relay useful product insights.
- Document best practices in internal playbooks so the deployment function can grow.
Requirements
What we're looking for
- Experience shipping production code in a startup, as a founder or early engineer, or at a large fast-moving technology company.
- A degree in a STEM field.
- Solid computer science fundamentals, including data structures, algorithms and system design.
- Proficiency in Python.
- Working knowledge of large language models, prompting techniques and AI agent design.
- Clear written and verbal communication, with the ability to explain technical topics to customers.
- Willingness to work from the office five days a week.
- Demonstrated ownership of projects from start to finish in a technical, customer-facing role.
Bonus points
- Degree from a highly ranked university for the program, which can offset gaps in other areas.
Benefits
Compensation and benefits
- Base salary: USD 165,000 to 250,000 per year
- Equity
Location and work model
- San Francisco, CA, United States
- On-site, 5 days per week in office
- Full-time
Similar Jobs
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
