- Raydar
- San Francisco, CA
- Full-Time
- 23 days ago
- $175,000–$275,000 / year
Full Stack AI Engineer.
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Full Stack AI Engineer: our view in 3 lines...
- The Role:This role suits an engineer with experience shipping end-user AI products at an early-stage technology company.
- The Person:The person will develop agent systems, evaluation and training-data pipelines, vector search, web crawlers and inference APIs, while improving infrastructure and building data-management tools and game-like web features.
- Requirements:The ideal candidate has experience with LLM-based applications, agent workflows, prompt and context design, embeddings and search indexing, plus React, TypeScript and Python.
About the role
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