Job Description
### About Darkroom
We’re empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Matter is the AI coordination layer — providing shared AI memory, centralized agent control, and model differentiation.
### Why Join Matter?
- **Founding Engineer Equity**: You'll get a meaningful equity stake; early-stage and undiluted.
- **Product Ownership**: You'll ship production code daily and help steer key product and technical decisions.
- **Shape the Engineering Culture**: You'll influence how we work—tools, processes, standards, and hiring.
- **Work with Challenger Consumer Brands**: Talk directly to customers (CEOs, CMOs, VPs) of fast-growing consumer brands—some doing $80M–$500M in revenue.
### About the Role
You'll sit squarely at the intersection of back-end and front-end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end-to-end, especially our AI/ML-powered experiences, while mentoring peers and driving architecture decisions.
### Core Tech & Tools
- **Languages & Frameworks**: Python, Node.js, React (TypeScript)
- **Datastore**: PostgreSQL
- **Cloud & Infra**: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes
- **ML/AI**: LLMs, RAG, prompt engineering
### Key Responsibilities
- Architect and implement full-stack features, from database schema to React components, optimized for scale and reliability.
- Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP.
- Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine-tuning pipelines.
- Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production-grade code.
- Mentor junior engineers through code reviews, architecture reviews, and shared best practices.
### Requirements
- 5+ years of professional software engineering experience with end-to-end ownership in a full-stack role.
- Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL.
- Able to be hands-on with GCP, containerization (Docker/K8s), and building/supporting high-traffic systems.
- Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps.