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Founding Engineer, AI Platform

RaydarSan Francisco, California🇺🇸United StatesPosted 2 Sept 2026

Why This Role Stands Out

As a Founding Engineer, AI Platform at Raydar, you'll have an unparalleled opportunity to shape a cutting-edge AI workspace from inception, leveraging your full-stack and AI expertise to build core platform components and directly impact enterprise clients. This hybrid role offers significant growth potential, competitive compensation including substantial equity, and the chance to influence product, architecture, and culture in a well-funded, early-stage company. If you thrive in fast-paced environments with high autonomy and a passion for building innovative AI solutions, this is an exciting chance to make your mark.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
San Francisco, California, United States
Posted
23 hours ago
LLM

Job 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.

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.

Base salary of $180,000 to $250,000 plus competitive founding-stage equity, with approximately 0.25 percent discussed as a reference point. Join a $10 million seed-stage company with real enterprise customers, direct access to the founding team, and meaningful influence over product, architecture, and engineering culture.

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