Full Stack Engineer (AI/ML)

Location: NYC / Remote (US-based, flexible)

Compensation: $180K-$230K Equity

———

Why join Matter?

Matter is building the future of creative marketing tools for the AI era, empowering brands to scale faster without scaling headcount. As a high‑growth startup and work beyond a typical 9‑to‑5. You’ll own large swaths of our codebase, collaborate deeply, and commit your work to production daily.

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, VP's) 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
• Other: MCP

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.
• 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; instrument metrics and sweep in optimizations.
• Mentor 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.
• Familiarity or strong interest in working with MCP servers or edge‑compute environments.
• 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.

Nice to Haves

• Experience with multi‑step or agentic AI workflows.
• Background in AI infrastructure or tooling companies.
• Contributions to open‑source AI/ML projects.