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
Skills Required
- Experience shipping AI products used directly by end users or working at an AI-focused company
- Practical experience with LLM applications, agent workflows, prompt and context design, embeddings, and search indexing
- Ability to deliver complete products across web interfaces and backend systems
- Degree in computer science or a related field
- Fluent English
- Comfort working in early-stage environments with unclear requirements
- Curiosity about design and visual quality
- Inventive approach to building infrastructure for novel problems
- Strong skills in React, TypeScript, and Python
- Experience at a small engineering organization or rapidly scaling company
- Public code contributions or curiosity-driven side projects
- Experience at design software, web indexing, or data-focused companies
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.
