Founding AI Platform Engineer for Enterprise Risk & LLM

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

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.