About the Role

Join an AI-native consumer intelligence startup as a Full-Stack Software Engineer, working across every layer of the platform — from backend services that process enterprise data at scale to the frontend interfaces that make that intelligence accessible and actionable. This is a high-ownership role on a small, fast-moving team: you'll take features from idea to production and iterate directly with enterprise clients.

This role is ideal for engineers who are energized by breadth, who want to understand the whole system, and who see product context as a superpower rather than a distraction.

What You'll Do

Build and ship features end-to-end — 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 features through the 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

Required

3+ years of professional full-stack engineering experience in early-stage startup environments, building and shipping products end-to-end
Proficiency in TypeScript/React (frontend) and at least one of Go or Python (backend), with demonstrated experience shipping code in both layers
Experience with AWS or equivalent cloud infrastructure platforms
Experience building and deploying full-stack features with ownership across infrastructure, backend services, and frontend interfaces
Comfortable operating in high-ownership environments where scope is not tightly defined and engineers manage their own priorities
Strong product instincts — you think about the user, not just the code
Bachelor's degree in Computer Science or a related field

Nice to Have

Experience with agentic AI systems, LLM integrations, or RAG architectures
Background in enterprise SaaS, consumer intelligence, retail technology, or data-intensive products
Experience with data pipelines or data engineering
Familiarity with data visualization, real-time systems, or streaming architectures
Contributions to developer tooling, CI/CD, or infrastructure automation

Note: Visa sponsorship is not available for this role.

Compensation & Benefits

Salary: $120,000 – $160,000 USD annually, commensurate with experience
Early-stage equity participation

Location

This is an on-site role based in New York, NY. Candidates should be located in or willing to relocate to the New York City area.

Learn more about this Employer on their Career Site