AI & Data Systems Engineer — End-to-End, High-Scale

Clera; San Francisco (CA); On-site; USD 200,000 - 280,000; Full time

Benefits offered by this job

Early-stage equity

Job summary

Clera is seeking a Software Engineer, AI & Data Systems to join our fast-growing data infrastructure team in San Francisco. This high-ownership role requires you to tackle ambiguous problems, choose architectures, ship products, and own them end-to-end in production.

You will use modern AI tools while maintaining engineering judgment and accountability. You will build and ship customer-facing products and core platform capabilities across backend, data pipelines, and frontend surfaces; design

Qualifications

• End-to-end ownership of a production system—from concept through deployment and ongoing operations.
• Strong backend skills: APIs, data models, and distributed systems.
• Based in or willing to relocate to San Francisco for a full-time, in-office role.
• Experience at a talent-dense early-stage startup shipping across product and infrastructure.
• Hands-on experience building and operating high-volume data pipelines.
• CS degree from a top-tier university.

Responsibilities

• Build and ship customer-facing products and core platform capabilities across backend, data, infrastructure, and frontend surfaces.
• Design and operate high-volume data pipelines and services at massive scale with strong reliability, security, and observability.
• Build AI agents, agent harnesses, and developer tools—then operate them reliably at very large scale.
• Make architecture decisions, articulate tradeoffs clearly, and iterate designs as assumptions evolve.
• Work directly with founders and customers to translate vague requirements into clear product decisions and working software.

Skills

End-to-end ownership

Backend engineering

Distributed systems

APIs

Data pipelines

Python

Education

CS degree

Tools

APIs

Cloud infrastructure

LLMs

Job description

Clera is seeking a Software Engineer, AI & Data Systems to join our fast-growing data infrastructure team in San Francisco. This high-ownership role requires you to tackle ambiguous problems, choose architectures, ship products, and own them end-to-end in production.

You will use modern AI tools while maintaining engineering judgment and accountability. You will build and ship customer-facing products and core platform capabilities across backend, data pipelines, and frontend surfaces; design