Full-Stack Engineer
Darkroom · New York
About this role
## Full-Stack Engineer ### What we’re building Shadow empowers small teams with technology that makes it easier to market and grow businesses. Our focus is helping consumer brands shift from **workflow automation** to **agent management** within their marketing operations. Shadow is the **AI coordination layer**—providing shared AI memory, centralized agent control, and model orchestration for marketing teams. ### Why join Shadow? - **Product Ownership**: Ship production code daily and help steer key product and technical decisions. - **Shape the Engineering Culture**: Influence how we work—tools, processes, standards, and hiring. - **Work with Challenger Consumer Brands**: Collaborate directly with customers (CEOs, CMOs, VPs) at fast-growing consumer brands ($80M–$500M revenue). ### The agency behind the product Shadow is built alongside **Darkroom** (a performance marketing agency operating for 10 years, 100+ employees, 100+ clients at a time, and 1,000+ consumer brands). The agency is both our proving ground and our first user—so the data you build with is **real marketing data at real volume** from day one. **Remote**: Fully remote role supporting an **EST time zone** team (9 AM–5 PM EST). --- ## The role You’ll sit 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 end-to-end features—especially **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 --- ## What you’ll own - 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 via code reviews, architecture reviews, and shared best practices. --- ## Must haves - **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**. - Hands-on with **GCP**, **Docker/Kubernetes**, 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** (UX, performance, 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/tooling** companies. - Contributions to **open-source AI/ML** projects. --- ## What it’s like to work at Darkroom Darkroom is looking for **A players** who want to build something great. They move fast, think deeply, and
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