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This is a full-stack engineering role at an early-stage AI-native consumer intelligence platform, where you'll work across the entire stack — from backend services processing enterprise data at scale to the frontend interfaces that make that intelligence actionable. On a small, high-ownership team, you'll take features from idea to production and iterate directly with enterprise clients.
Build and ship end-to-end features spanning backend services in Go/Python and frontend experiences in React/TypeScript.
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 the full feature lifecycle: scoping, architecture, implementation, testing, deployment, and iteration.
Work directly with enterprise customers to understand real-world needs and refine the product.
Contribute to infrastructure, tooling, and developer experience as the engineering team scales.
3+ years of professional full-stack engineering experience, ideally in early-stage startup environments where you've shipped products end-to-end.
Proficiency in TypeScript/React on the frontend and Go or Python on the backend, with demonstrated experience shipping in both layers.
Experience with AWS or equivalent cloud infrastructure and modern deployment practices.
Comfort with ambiguity — you can take a loosely defined problem and turn it into a shipped feature.
Strong product instincts; you think about the user, not just the code.
Bachelor's degree in Computer Science or a related field.
Bonus: Experience with agentic AI systems, LLM integrations, or RAG architectures; background in enterprise SaaS, retail technology, or data-intensive products; familiarity with data visualization, real-time systems, or streaming architectures.
Base salary: $120,000 – $160,000 USD annually. Visa sponsorship is not available for this role.
On-site in New York, NY.
