Full-Stack Engineer
DarkroomCreator E-commerce company
New York, United States$120,000Senior
Software Engineering
About the role
TL;DR
Full-stack engineer focusing on AI/ML integration and full-stack feature development.
- •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 features end-to-end, especially our AI/ML-powered experiences, while mentoring peers and driving architecture decisions.
- •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.
- •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.
- •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.
Required skills
PythonNode.jsReactTypeScriptPostgreSQLGoogle CloudAirflowDockerKubernetesLLMs
Domain expertise
martech
Benefits & perks
Competitive salary, Top-tier health, vision, and dental insurance (US), Regular team off-sites, Regular hack weeks
Tech stack
PythonNode.jsReactTypeScriptPostgreSQLGoogle CloudAirflowTerraformDockerKubernetesLLMs