Founding Engineer: Build Scalable Enterprise AI Platform

kadence; New York (NY); On-site; USD 140,000 - 230,000; Full time

Job summary

Kadence, an early-stage startup building an interface for enterprise decision-making, seeks a Founding Engineer to turn the MVP into a scalable platform and shape the technical foundation.

You will own both the customer-facing product and the platform, spanning full-stack development, data infrastructure, cloud deployment and AI model operations, while collaborating with founders and researchers to deliver a polished product.

Qualifications

• 5-8+ years of software engineering experience.
• Experience shipping a data-heavy B2B or enterprise product from early stage through production.
• Strong TypeScript, React, Next.js and PostgreSQL experience.
• Hands-on Python for data processing, including pandas, SQL or DuckDB.

Responsibilities

• Build and evolve the customer-facing application, from data model to user interface.
• Own the cloud platform, including infrastructure as code, deployments, CI/CD, observability and security.
• Design a scalable, multi-tenant architecture and onboarding process.
• Transform complex customer data into model-ready datasets and maintain data pipelines for the product.
• Deploy, monitor and retrain ML models with the research team.
• Establish standards for architecture, testing, code review and production reliability.
• Work with founders, researchers and customers to prioritize features and gather feedback.
• Use AI-assisted development tools while maintaining code quality.

Skills

TypeScript

React

Next.js

PostgreSQL

Python

Data pipelines

CI/CD

Azure

AI/ML in prod

Product judgment

Tools

Pandas

SQL

DuckDB

Job description

Kadence, an early-stage startup building an interface for enterprise decision-making, seeks a Founding Engineer to turn the MVP into a scalable platform and shape the technical foundation.

You will own both the customer-facing product and the platform, spanning full-stack development, data infrastructure, cloud deployment and AI model operations, while collaborating with founders and researchers to deliver a polished product.