Software Engineer
Raydar
San Francisco, CA0–6 yrs3h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 6 years
- Must know
- System designETLREST APIs
- Work
- On-site in San Francisco
- Pay
- Not stated by the employer.
- Skill demand
- System design28%REST APIs24%ETL8%of 119 similar entry-level jobs posted in the US this week
- Listed
- Oct 27, 2026 · still open
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About the Role
Build the platform behind the company's work. Focus on distributed systems, data pipelines, and performance optimization, as well as tools for domain experts to write and review tasks. Ensure the reliability and understandability of workflows involving agent runs that can take hours and depend on model APIs, remote environments, and background services.
Key Responsibilities
- Develop long-horizon agent workflows to support trillions of tokens of processing per week.
- Build services and data pipelines for managing task execution, evaluation results, and dataset delivery.
- Investigate production issues and improve performance, resource usage, and failure recovery.
- Collaborate with experts and project leads to enhance their software and reduce repetitive manual work.
- Own the design and production operation of new features.
Requirements & Tech Stack
- Production software experience with distributed systems, data pipelines, or performance optimization.
- Sound engineering judgment.
- Ability to investigate unfamiliar codebases.
- Genuine interest in AI agents and making them useful and reliable.
Qualifications
- Zero to six years of software engineering experience.
- Experience taking a project from requirement through implementation and release.
- Experience at a premier AI startup (Series A to E), leading AI lab, or scale-up.
Bonus Points
- Experience with agent workflows, model inference, or evaluation systems.
- A degree from a top engineering university.