Full-Stack Engineer

Overview

Full-stack engineer building AI/ML-powered features end-to-end for Shadow, the AI coordination layer for marketing teams, built alongside the Darkroom performance marketing agency.

What you'll do

• 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.

What you'll need

• 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.
• 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 have

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

Details

• Fully remote role supporting a team in the EST time zone (9 AM–5 PM EST).
• Hub locations include Brazil and Spain.