Founding Member of Technical Staff
Summary
Founding engineer at an AI technology startup in San Francisco: define and build AI products, backend infrastructure, and data gathering/analysis pipelines (including voice and analysis agents), plus model post-training and decision-simulation research, owning projects end to end. Onsite six days per week.
About the company
Our client is an AI technology company.
The role
Raydar is recruiting for this opportunity through the Paraform network. The position is with our client. Build backend infrastructure, data workflows, and AI products, combining engineering delivery with applied research and product definition.
What you'll do
- Define and build new AI products alongside technical leadership.
- Develop data gathering and analysis pipelines, including voice and analysis agents.
- Improve model behavior through post-training work.
- Research ways to simulate decision outcomes.
- Own technical projects from problem framing through deployment.
Requirements
What we're looking for
- 2 to 5 years of professional software engineering experience, or an exceptional portfolio of relevant work.
- Strong backend or full-stack engineering skills.
- Experience independently building and delivering complex systems.
- Ability to work across engineering, product, and research in an early-stage environment.
- Comfort with an intensive startup schedule.
Benefits
Compensation and benefits
- Base salary: USD 150,000 to 300,000 per year.
- Equity: Generous equity.
- Health insurance.
- Catered meals.
Location and work model
- Six days per week onsite in San Francisco, as specified in the candidate-facing scheduling question.
As published by workable · 3 questions
Basics
First name, Last name, Email, Headline, Phone, Address, Photo, Education, Experience, Summary, Resume, Cover letter
Short answers (1)
- Public LinkedIn profile URL (https://www.linkedin.com/in/...)
Pick from a list (2)
- Will you require work authorization of any kind?
- Are you able to meet this work arrangement: Six days per week onsite in San Francisco, as specified in the candidate-facing scheduling question.
