Member of Technical Staff, Product
Raydar
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- Pay
- $200K to $400K
- a year
- Location
- San Francisco, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 28
- Today
Career path
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About the company
Raydar
Business Consulting and Services · 11 to 50 employees
At Raydar we help innovative companies find the solutions they need to supercharge their growth.
See website for full list of active open roles: www.raydar.xyz/open-roles
What you'll do
- You will develop long-horizon agent workflows and build the services and data pipelines necessary for task execution and dataset delivery.
- Additionally, you will investigate production issues to improve performance, resource usage, and system reliability.
What you need
- The role requires zero to six years of software engineering experience with a focus on distributed systems or data pipelines.
- Candidates should possess sound engineering judgment and a genuine interest in making AI agents reliable and useful.
- Education: a bachelor's degree
Key skills
Distributed systemsData pipelinesPerformance optimizationSoftware engineeringAI agentsModel inferenceEvaluation systemsProduction softwareSystem designAPI integration
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Perks
- Competitive equity
See full description on company page, apply now
Read the full posting here
About the Company
Our client is a seed-stage, deployment-first AI company founded in 2025 that works with enterprises and frontier AI labs to improve how AI performs in professional settings, starting with engineering and life sciences. It has raised $6M, has a team of about eight and is building the platform that runs AI agents and produces training and evaluation datasets from real professional work.
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. Please confirm this works for you before applying.