About the RoleThis 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.
What You'll Do- 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.
What We're Looking For- 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.
Compensation & BenefitsBase salary:
$120,000 - $160,000 USD annually. Visa sponsorship is not available for this role.
LocationOn-site in
New York, NY.
