Founding Backend Engineer – AI & Data

Role Overview

• Architect & build core backend systems.
• Design scalable data infrastructure.
• Integrate AI into real-world workflows.
• Design systems that scale.
• Develop performant APIs and services.
• Collaborate closely with users.
• Shape Clipbook's engineering culture.

Requirements

• 2–10+ years building and scaling production backend systems.
• Genuine excitement to build quickly & ship fast.
• You take ownership.
• Comfortable with ambiguity.
• Strong experience with cloud infrastructure, containerization, and CI/CD.
• A future leader.
• Technical Areas Where Depth Matters (one or more):
• Data Engineering: Spark, Kafka, Flink, BigQuery, streaming pipelines, ETL at scale.
• Distributed Systems: High-volume scaling, fault tolerance, eventual consistency.
• AI/ML: LLMs in production, RAG, embeddings, fine-tuning, inference optimization.
• Backend: Python, Node.js, PostgreSQL, high-concurrency systems.

Tech Stack

• BigQuery
• Cloud
• Distributed Systems
• ETL
• JavaScript
• Kafka
• Node.js
• Postgres
• Python
• Spark

Benefits

• Medical
• Dental
• Vision
• 401(k)
• Unlimited PTO