Software Engineer

Raydar; San Francisco (CA); On-site; USD 200,000 - 400,000; Full time

Benefits offered by this job

Equity compensation

Visa sponsorship

On-site in SF Bay Area

Job summary

Raydar is hiring in the San Francisco Bay Area for an engineer to build the platform behind AI work. You will tackle distributed systems, data pipelines, and performance optimization while enabling domain experts to write and review tasks. You will ensure reliability as workloads scale.

Responsibilities include designing long-horizon agent workflows, building services for task execution and evaluation, plus improving production issues and recovery. A strong interest in AI agents is essential.

Qualifications

• 0–6 years software engineering experience with end-to-end lifecycle.
• Production software experience with distributed systems, data pipelines or performance optimization.
• Time at a premier AI startup or leading AI lab is a plus.
• Strong ability to investigate unfamiliar codebases with good engineering judgment.
• Genuine interest in AI agents and reliable systems.

Responsibilities

• Develop long-horizon agent workflows to support trillions of tokens per week.
• Build services and data pipelines for task execution, evaluation results and dataset delivery.
• Investigate production issues and optimize performance, resources and recovery.
• Collaborate with experts to improve software and reduce repetitive work.
• Own design and production operation of new features.

Skills

Distributed systems

Data pipelines

Performance optimization

Job description

About the Role

Build the platform behind that work. You will work on distributed systems, data pipelines and performance optimization, plus the tools domain experts use to write and review tasks. Agent runs can take hours and depend on model APIs, remote environments and background services, and you will make those workflows reliable and understandable as usage grows.

What You Will Do

• Develop long-horizon agent workflows with the goal of supporting trillions of tokens of processing per week.
• Build the services and data pipelines that manage task execution, evaluation results and dataset delivery.
• Investigate production issues and improve performance, resource usage and recovery from failures.
• Work with experts and project leads to improve their software and reduce repetitive manual work.
• Own both the design of new features and their operation in production.

What We Are Looking For

• Zero to six years of software engineering experience (new grads are welcome), with experience taking a project from requirement through implementation and release.
• Production software experience with distributed systems, data pipelines or performance optimization.
• Time at a premier AI startup (Series A to E or a leading AI lab or scale-up).
• Sound engineering judgment and the ability to investigate unfamiliar codebases.
• Genuine interest in AI agents and making them useful and reliable.

Bonus Points

• Experience with agent workflows, model inference or evaluation systems.
• A degree from a top engineering university.

Compensation and Benefits

$200,000-$400,000 base salary plus highly competitive equity, higher for exceptional candidates. Visa transfers and new sponsorships are considered. Relocation support is not offered.

Location and Work Model

Full-time and on-site in the San Francisco Bay Area, six days a week in the office.