Staff Software Engineer, Platform – Build the Core of an Enterprise AI Startup

StackedSP Inc; New York (NY); On-site; USD 180,000 - 240,000; Full time

Job summary

Join a pioneering team at an early-stage AI startup, where you'll have the opportunity to architect and build the foundational systems for enterprise AI. As a platform engineer, you'll play a crucial role in defining the technical direction and scaling the infrastructure that supports real-world AI deployments. This is a unique chance to work alongside experienced builders from leading tech companies, contributing to impactful projects that drive innovation across various industries. With a competitive salary and equity options, this role offers both significant ownership and the chance to make a meaningful impact in the AI landscape.

Benefits

Equity in startup

Competitive salary

High-velocity team environment

Opportunity for real-world impact

Qualifications

• Experience in architecting core platform components.
• Ability to design scalable APIs for AI workflows.

Responsibilities

• Architect and build core platform components for AI systems.
• Design scalable APIs and frameworks for multiple industries.

Skills

API Design

Platform Architecture

Git Integrations

Collaboration Skills

Tools

Python

TypeScript

Kubernetes

Job description

About the Company

Company Size: < 10 People

Industry: Agentic AI, Automation, Enterprise Software

Founding Year: 2023

Stage: Early-Stage Startup

Tech Stack: Python, TypeScript, Kubernetes, and other leading tools

This early-stage team is building the foundation for enterprise AI—deploying autonomous agents that deliver specialized services with human-level quality. Founded by builders from companies like Google, Databricks, and Canva, they’re moving fast to turn ambitious ideas into real-world systems.

As one of the first platform engineers, you’ll help define, architect, and build the systems that make everything possible. Cognitive agents, context graphs, observability, developer tools—this is zero-to-one, high-ownership work with massive technical depth. You'll be hands-on in setting the technical direction, making foundational choices, and scaling the infrastructure that real-world AI deployments depend on.

What You’ll Tackle:

1. Architect and build core platform components—structured context graphs, observability layers, tagging and discovery systems.
2. Design scalable APIs and frameworks that drive AI-powered workflows across multiple industries.
3. Build bi-directional Git integrations and interfaces that make developer and non-technical user workflows seamless.
4. Own platform infrastructure decisions end-to-end—from strategic design to hands-on implementation.
5. Collaborate across backend, product, and AI engineering teams to launch high-quality systems fast.

What You'll Bring:

• Experience architecting and building core platform components such as structured context graphs, observability layers, tagging, and discovery systems.
• Ability to design scalable APIs and frameworks to support AI-powered workflows across industries.
• Skill in building bi-directional Git integrations and interfaces for seamless workflows.
• Ownership of platform infrastructure decisions from strategic design to implementation.
• Strong collaboration skills across engineering teams to deliver high-quality systems quickly.

Why You’ll Want to Join:

• Founding seat at a venture-backed, mission-driven AI company.
• Huge technical ownership—architect, build, and scale critical systems.
• Tight-knit, high-velocity team—no endless approvals, just smart, fast-moving people.
• Real-world AI impact—enterprise deployments in meaningful industries, not toy projects.
• Competitive salary and meaningful equity upside.

$180,000 - $240,000 a year

Compensation includes salary range above plus meaningful equity in an early-stage venture-backed startup, commensurate with experience.