Full Stack Software Engineer

Job description

### About the Role This is a full stack engineering role at an early-stage AI/consumer intelligence SaaS startup, where you will own features end-to-end across backend services and frontend interfaces. The team is small, so full stack genuinely means full ownership: you will take features from idea to production and iterate directly with enterprise clients. ### What You'll Do - Build and ship features across the full stack, using Go or Python on the backend and React/TypeScript on the frontend. - Design APIs, data models, and service architectures that support agentic AI capabilities. - Create intuitive interfaces that translate complex enterprise data into clear, actionable workflows. - Collaborate with ML engineers to bring AI-driven features to production. - Own features through their full lifecycle: scoping, architecture, implementation, testing, deployment, and iteration. - Work directly with enterprise customers and stakeholders to understand real-world needs and refine the product. - Contribute to infrastructure, tooling, and developer experience as the engineering team scales. ### What We're Looking For - 3 or more years of professional engineering experience with meaningful work across both frontend and backend. - Proficiency in TypeScript/React and at least one of Go or Python, with demonstrated shipping experience in both layers. - Experience with AWS or equivalent cloud infrastructure and modern deployment practices. - Experience building and deploying data pipelines or data engineering work. - Comfortable owning loosely scoped problems and managing ambiguity without extensive guidance. - Background in early-stage startup environments where you built and shipped products end-to-end. - Strong product instincts: you think about the user, not just the code. - A bachelor's degree in Computer Science or a related field. - **Nice to have:** experience with LLM integrations, agentic AI systems, or RAG architectures; background in enterprise SaaS, retail technology, or data-intensive products; familiarity with data visualization, real-time systems, or streaming architectures. ### Compensation & Benefits Salary range: **$120,000 to $200,000 USD annually.** Visa sponsorship is not available for this role. ### Location On-site in **New York, New York, United States.**