Full-Stack Engineer

About the Company

Shadow is an AI coordination layer designed to help consumer brands shift from workflow automation to agent management. Built alongside Darkroom, a performance marketing agency, Shadow provides shared AI memory, centralized agent control, and model orchestration for marketing teams using real-world marketing data.

Responsibilities

• Architect and implement full-stack features from database schema to React components
• Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP
• Integrate, prompt, and debug LLMs and generative AI tools, including RAG or fine-tuning pipelines
• Ensure seamless interoperability between front-end and back-end systems
• Collaborate with product, research, design, and infra teams to ship production-grade code
• Monitor performance, reliability, and security
• Mentor junior engineers through code reviews and architecture reviews

Requirements

• 5+ years of professional software engineering experience in a full-stack role
• Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL
• Hands-on experience with GCP and containerization (Docker/Kubernetes)
• Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production applications
• Familiarity or strong interest in working with MCP servers
• Strong problem-solving skills and a product-focused mindset

Preferred Qualifications

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

Benefits

• Competitive salary
• Top-tier health, vision, and dental insurance (US)
• Regular team off-sites
• Regular hack weeks