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# Founding Engineer, AI Platform

- **Company:** Raydar, Inc.
- **Location:** San Francisco, CA, United States
- **Salary:** $180,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Backend, AI Platforms, Information Technology, Operational Systems
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_0c8037a41

## About the Role

3 to 7 years of full-stack software engineering experience in AI-native or fast-moving product environments.

Clear 0-to-1 experience as a founder, founding engineer, or early engineer at a venture-backed startup.

Strong backend engineering skills and the ability to own work across the full stack.

Experience shipping AI-powered features into production and familiarity with LLM APIs, RAG, agent orchestration, tool calling, evaluations, or adjacent agent infrastructure.

High autonomy, strong product judgment, comfort with ambiguity, and ability to speak directly with customers.

Bachelor's degree in computer science or an equivalent technical degree.

Ability to work from San Francisco approximately three days per week.

Existing authorization to work in the United States without sponsorship.

## Description

Our client is an early-stage enterprise AI company building an intelligent workspace that converts meetings, email, documents, chat, and operational systems into durable organizational memory, proactive agents, and customer-specific workflows. The company has raised a $10 million seed round, already serves large enterprise customers, and is led by seasoned technology and AI operators.

As a Founding Engineer, AI Platform, you will build the core platform from the ground up and operate across product, infrastructure, agents, evaluations, and customer workflows. You will lead reusable platform primitives including triggers, tools, approvals, memory, observability, and workflow execution; own work from customer discovery through launch and iteration; build full-stack product surfaces and backend systems; work directly with customers; and help shape the product roadmap, architecture, engineering practices, and culture.