Software Engineer, AI & Data Systems
- Onsite
- All ai & machine learning jobs
- FullTime
- Engineering
About the role
About the Role
You will join a fast growing data infrastructure team to build core platform capabilities and customer facing products. This role involves ownership from architecture to production, with a focus on AI driven data systems and scalable backend, data, and frontend work in collaboration with founders and customers.
What You'll Do
Build and ship customer facing products and core platform capabilities across backend, data, infrastructure, and front end surfaces.
Design and operate high volume data pipelines and services with strong reliability and observability.
Develop AI agents, agent harnesses, and developer tools and operate them at large scale.
Make architecture decisions, tradeoffs, and iterate as assumptions evolve.
Collaborate directly with founders and customers to translate vague requests into concrete software.
What We're Looking For
1-6 years of professional software engineering experience in relevant domains.
Strong backend coding skills with APIs, data models, and distributed systems experience.
Experience building and operating high volume data pipelines and working in a talent dense early stage startup environment.
Strong CS fundamentals and a degree from a top program or equivalent.
Experience with AI native development including LLMs, agent frameworks, and AI agents or identity/matching systems is a plus.
Proficiency with Python, distributed systems, data pipelines, APIs, and cloud infrastructure.
Compensation & Benefits
Salary: $200,000 - $280,000 USD annually. Visa sponsorship: not offered. The posting does not specify additional equity or benefits.
Location
Primary location: San Francisco, California, United States. This role is on site with no remote option indicated.
Description as published by Clera.