About the company
Our client is an early-stage technology company.
The role
Raydar is recruiting for this role on behalf of our client. Design and build AI-driven systems along with the user-facing applications that sit on top of them, spanning backend services and front-end work. The position is hands-on and autonomous, with considerable greenfield development in a small engineering group.
What you'll do
- Develop autonomous agent systems, including memory and iterative self-improvement mechanisms.
- Create pipelines for model evaluation and for generating artificial training data.
- Devise grading methods for areas where correct answers are hard to define objectively.
- Build vector search and retrieval infrastructure that handles heavy traffic.
- Develop large-scale web crawlers that gather visual content.
- Deploy model inference services and expose them through APIs for external users.
- Improve tooling and infrastructure so that systems stay dependable and responsive.
- Create internal data-management tools and interfaces for outside specialist reviewers.
- Design engaging, game-like web features such as quizzes, rankings and incentive flows.
Requirements
What we're looking for
- Background in shipping AI products used directly by end users, or time spent at a company built around AI.
- Practical experience with LLM-based applications, including agent workflows, prompt and context design, embeddings and search indexing.
- Ability to deliver complete products, from web interfaces to the backend systems that support them.
- Degree in computer science or a related field.
- Fluent English.
- Comfort working in early-stage settings with unclear requirements.
- Real curiosity about design and visual quality.
- Inventive approach to building infrastructure for problems with no established playbook.
Bonus points
- Strong skills in React, TypeScript and Python.
- Experience at a small engineering organization or a company that scaled quickly.
- Public code contributions or side projects driven by personal curiosity.
- Experience at design software, web indexing or data-focused companies.
Benefits
Compensation and benefits
- Base salary: USD 175,000 to 275,000 per year
- Equity
- Relocation support
Location and work model
- San Francisco, California, United States
- On-site, in office
- Full-time
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
