Founding Engineer, Applied AI Platform ($130K - $180K + Equity) Comprehensive AI Risk Platform

CoffeeSpace; San Francisco (CA); On-site; USD 140,000 - 220,000; Full time

Job summary

CoffeeSpace is recruiting a founding engineer to build an enterprise-grade AI risk platform end-to-end. You will architect LLM systems, design data models, and own features from concept to deployment for Fortune 50 customers.

You will work directly with customers and GTM teams, iterating based on real feedback and driving product breadth and depth. You will join a fast-growing team that values ownership, high impact, and shipping high-quality software.

Qualifications

• 1 to 8 years of technical experience.
• Strong experience with Python, React/Next.js, LLMs, RAG pipelines, and distributed systems.
• Comfortable with direct customer interaction and feedback-driven development.
• Able to work autonomously.

Responsibilities

• Build end-to-end LLM platforms for enterprise customers.
• Design relational schemas and scalable pipelines for the platform's data layer.
• Own features from inception to deployment.
• Collaborate directly with customers and go-to-market teams.
• Iterate the platform based on Fortune 50 feedback.

Skills

Python

React

Next.js

LLMs

RAG Pipelines

Agentic Workflows

Relational Databases

Distributed Systems

Job description

This role is being recruited by CoffeeSpace on behalf of an anonymous AI risk platform startup that helps enterprises adopt AI securely by understanding, assessing, and continuously mitigating the risk of their AI assets.

We’re identifying a small number of exceptional founding engineers from our network. If there’s a strong fit, we’ll introduce you directly to the founding team.

Employment type: Full-time

About the company

This company provides a comprehensive AI risk platform that sits at the intersection of AI adoption and cybersecurity. It assists Fortune 50 companies and major law firms in understanding and managing the risks associated with third-party AI vendors, enabling faster and more confident AI adoption. The company is backed by Y Combinator and Liquid 2 Ventures and has quickly scaled to millions in recurring revenue.

The team, currently 12 strong and growing to 20, is led by founders with deep experience in security, infrastructure, and AI product development. The team values output and ownership over hours worked.

About the role

As a founding engineer, you will build the platform end-to-end for real enterprise customers. You will have full autonomy over products from inception to deployment, architecting LLM systems and data models, and working directly with go-to-market teams and customers.

What You’ll Do

• Build LLM systems end-to-end, including architecting and shipping agentic workflows and RAG pipelines for enterprise customers.
• Design relational schemas and scalable pipelines for the platform's data layer.
• Own features and products outright, driving them from 0 to 1.
• Collaborate directly with customers and go-to-market teams to move the product forward.
• Continuously iterate on the platform based on feedback from Fortune 50 accounts.

Why This Role Is Compelling

• Join a fast-growing AI risk platform with significant traction in enterprise markets.
• Work with a senior team where engineers are decision-makers who interact directly with customers.
• Be part of a mission-driven team helping sensitive industries adopt AI securely.
• Enjoy a culture that values output over hours, with real ownership of your work.

The Ideal Candidate

• 1 to 8 years of experience in a technical role.
• Proficiency in Python, React, Next.js, LLMs, RAG Pipelines, Agentic Workflows, Relational Databases, and Distributed Systems.
• Strong problem-solving skills and the ability to work autonomously.
• Comfortable with direct customer interaction and feedback-driven development.

This is a real, active role that CoffeeSpace is recruiting for in close partnership with the hiring team. We don’t post speculative roles and work directly with teams on their actual hiring needs.