Location: New York City, on-site
Salary: $200,000–$300,000 base salary depending on experience, plus founding equity
Company
Venture-backed AI startup developing technology that automates complex engineering workflows and helps engineers focus on higher-value challenges.
What you will do
•Design and build scalable backend systems supporting AI-powered applications across multiple customers.
•Develop platform architecture, including APIs, data ingestion, and multi-tenant systems.
•Work with AWS cloud infrastructure to improve security, reliability, and scalability.
•Contribute to AI infrastructure, including retrieval systems and RAG capabilities.
•Improve engineering experience through CI/CD, automated testing, monitoring, and development tools.
•Collaborate directly with the CTO and engineering team on technical challenges, architectural decisions, and the platform's future.
Requirements
•Strong experience in backend engineering, platform engineering, or distributed systems.
•Experience designing and building scalable, production-grade software architectures.
•Hands-on experience with cloud infrastructure, ideally AWS.
•Experience contributing to architectural decisions and owning complex technical projects.
•Familiarity with CI/CD, automated testing, observability, and production infrastructure.
•Comfort working in a fast-moving environment with freedom to make decisions and solve new problems.
•Strong communication skills and interest in collaborating directly with engineering teams and customers.
Nice to have
•Kotlin, Python, or similar backend programming languages.
•Experience with RAG, retrieval systems, or AI infrastructure.
•Next.js, Vercel, or modern frontend technologies.
•Experience building internal developer platforms or tools.
•Previous experience in a startup, founding engineering team, or early-stage technology company.
Culture & Benefits
•Founding equity and the opportunity to share in company growth.
•Full healthcare benefits.
•Direct collaboration with the CTO and significant influence over technical decisions.
•Early-stage ownership in a growing AI company.
•On-site work in New York City.
