Matter is building an AI coordination layer to help consumer brands shift from 'workflow automation' to 'agent management' within their marketing operations, providing shared AI memory, centralized agent control, and model differentiation.
Requirements
- 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.
- Familiarity or strong interest in working with MCP servers.
- Experience with multi‑step or agentic AI workflows.
- Background in AI infrastructure or tooling companies.
- Contributions to open‑source AI/ML projects.
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.
- Ensure front‑end and back‑end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts.
- Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production‑grade code.
- Monitor performance, reliability, and security.
- Mentor junior engineers through code reviews, architecture reviews, and shared best practices.
Other
- 5+ years of professional software engineering experience with end‑to‑end ownership in a full‑stack role.
- Exceptional problem‑solving skills and a product mindset: you think deeply about UX, performance, and business impact.
- You sweat both technical details and end-user experience.
- Work-life balance is a high priority for you
- You're uncomfortable changing your priorities every 24-48 hours
