SF AI Engineer - Build Scalable AI Agents On-site

raydar; San Francisco (CA); Sur place; USD 168 000 - 235 000; Plein temps

Avantages offerts par ce poste

Medical, dental and vision coverage

Flexible spending accounts

Commuter benefits

Unlimited paid time off

401(k) retirement plan

Résumé du poste

Raydar is seeking an AI Engineer to build and maintain scalable AI agent systems, data pipelines, and backend services in a fast-growing software environment in San Francisco. You will create tooling to run, evaluate, and monitor AI agents, and work closely with product and security teams to ship reliable, AI-driven features.

The role focuses on tracking advances in language models and agent techniques, adopting those that improve the product, and delivering production-ready AI capabilities.

Qualifications

• Hands-on experience creating autonomous software that runs on language models (LLMs).
• Production-grade software engineering for reliable systems.
• Experience deploying applications that use large language models.

Responsabilités

• Build and maintain scalable AI agent systems, data pipelines and backend services.
• Create tooling for running, evaluating and monitoring AI agents.
• Partner with product and security to design and ship AI-driven features.
• Track progress in large language models and agent techniques and adopt those that improve the product.

Connaissances

Autonomous software

Large language models

Production systems

DevOps practices

Code deployment

Collaboration with product/security

Outils

Version control (Git)

CI/CD pipelines

Editor plugins

Description du poste

Raydar is seeking an AI Engineer to build and maintain scalable AI agent systems, data pipelines, and backend services in a fast-growing software environment in San Francisco. You will create tooling to run, evaluate, and monitor AI agents, and work closely with product and security teams to ship reliable, AI-driven features.

The role focuses on tracking advances in language models and agent techniques, adopting those that improve the product, and delivering production-ready AI capabilities.