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About the Role
Join a fast-growing data infrastructure team to build core platform capabilities and customer-facing products. This role requires ownership from architecture to production, focusing on AI-driven data systems and scalable backend, data, and frontend development in collaboration with founders and customers.
Responsibilities
- 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.
Requirements
- 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.
- Experience working in a talent-dense early-stage startup environment.
- Strong CS fundamentals.
- 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.
Skills
- Python
- Distributed systems
- Data pipelines
- APIs
- Cloud infrastructure
- LLMs
- Agent frameworks
- AI agents
- Identity/matching systems
Location
- San Francisco, California, United States
Work Type
- On-site
Experience Level
- 1-6 years
Education Level
- Degree from a top program or equivalent
Salary/Compensations
- $200,000 - $280,000 USD annually