AI-Driven Full-Stack Engineer | Equity & On-site SF

raydar

San Francisco (CA)

On-site

USD 200,000 - 280,000

Full time

3 days ago
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Benefits offered by this job

Health and dental coverage

Job summary

Raydar, a fast-growing software company in San Francisco, seeks a software engineer to own the AI-driven platform end-to-end. You will align user-facing apps, APIs and backend services with research and product needs, ensuring reliable, scalable outputs.

The role requires shipping production software, strong full-stack skills, and hands-on experience with large language models. On-site, full-time, in San Francisco, CA.

Qualifications

  • Proficiency in Python and at least one of TypeScript or C++.
  • Hands-on experience building production software used by real users.
  • Strong full-stack capabilities across backends, APIs and UI.
  • Experience with large language models in production.
  • Experience building or maintaining evaluation frameworks.

Responsibilities

  • Own the full product experience for an AI-driven platform, from UI to APIs and backend services.
  • Build orchestration layer connecting models to tools, retrieval and feedback loops.
  • Design and maintain evaluation suites for shipped features.
  • Handle data work like file and geometry data prep, linking pipelines to the app.
  • Make deployment, observability, latency and cost decisions.
  • Collaborate with research and product to address real user issues.
  • Set internal standards for AI-assisted coding workflows.

Skills

Python
TypeScript
C++
Full-stack development
LLMs in production
Evaluation frameworks
AI tooling
Ownership mindset

Education

BS in Computer Science

Job description

Raydar, a fast-growing software company in San Francisco, seeks a software engineer to own the AI-driven platform end-to-end. You will align user-facing apps, APIs and backend services with research and product needs, ensuring reliable, scalable outputs.

The role requires shipping production software, strong full-stack skills, and hands-on experience with large language models. On-site, full-time, in San Francisco, CA.

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