Member of Technical Staff, Backend Equity) at well-funded AI infrastructure startup
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-09-04
Listing for:
Jack & Jill
Full Time
position Listed on 2026-09-04
Job specializations:
-
Software Development
Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software), Python
Job Description & How to Apply Below
Job Title
Member of Technical Staff, Backend
Salary$180k-$250k + Equity
Company DescriptionWell-funded AI infrastructure startup
Job DescriptionJoin a high-growth team building the core infrastructure powering how modern AI applications process and understand documents. You will own the backend application platform, scaling ingestion systems and AI workflows across a modern Python and Kubernetes stack. This role offers high ownership, from prototyping new features to shipping production-ready APIs for millions of developers.
LocationSan Francisco, USA
Why this role is remarkable- Build infrastructure at the forefront of the AI revolution, supporting a platform that processes over a billion documents for global enterprises.
- High-impact, "ship-from-scratch" environment where you go from prototype to production for a massive, open-source-first developer community.
- Well-funded Series A startup backed by top-tier VCs, offering a small-team culture with significant equity and high ownership.
- Design and scale backend systems for ingestion and AI processing using Python, Node.js, Kubernetes, and Temporal.
- Collaborate directly with customers to translate complex technical requirements into production-ready product features and core APIs.
- Shape the product roadmap and technical architecture for a platform serving both startups and Fortune 50 companies.
- 4+ years of backend engineering experience with a strong track record of shipping new products from the ground up.
- Proficiency in Python and experience managing complex distributed systems, cloud infrastructure, and database performance.
- Strong interest in AI/LLM-native applications and the ability to work in a fast-paced, hybrid-friendly startup environment.
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