Software Engineer (AI Platform) New York, United States

Superblocks; New York, Northern (NY, KY); Hybrid; USD 140,000 - 230,000; Full time

Job summary

Superblocks is building the frontier platform that enables a billion non engineers to create software with AI, redefining how enterprises build internal systems and reimagining the future of SaaS.

You will design AI memory systems, agents, and governance layers to run scalable AI at global scale with safety, security, and compliance in mind. This role focuses on building reliable infrastructure that empowers non-engineers to ship production applications.

Qualifications

• Strong background in backend systems, platforms and database design.
• Experience building agentic systems, LLM applications, or orchestration frameworks.
• Experience with security, sandboxing, or isolation in distributed systems.
• Deep intuition for model behavior, evaluation, and performance tradeoffs.
• Ability to design simple abstractions over complex AI and systems problems.

Responsibilities

• Define and implement an AI memory system with short-term and persistent memory and organizational knowledge graphs.
• Develop AI agents that generate, execute, debug, and test code, handling failures and feedback for non-engineers to ship production apps.
• Create a centralized governance layer for IT admins to view and control apps, workflows, users, agents, secrets, and policies.

Skills

Backend systems

Agentic systems

LLM applications

Security

Distributed systems

Abstractions design

Job description

Superblocks is building the frontier platform that enables a billion non engineers to create software with AI. We are reinventing how enterprises build internal systems and redefining the future of SaaS.

Our platform is powered by Clark, an AI agent backed by organizational memory that can explore company data and generate enterprise software within strict security, compliance, and execution boundaries. Clark executes untrusted code in secure sandboxes and runs applications globally with low latency. You’ll design the systems that make Clark accurate, safe, and production-ready at scale.

What you will work on

• An AI memory system with short-term memory, persistent memory, and organizational knowledge graphs, plus data exploration for humans and agents.
• AI agents that generate, execute, debug, and test code, handling failures and feedback so non-engineers can ship production applications.
• A centralized governance layer where IT admins can see and control apps, workflows, users, agents, secrets, and policies.

What we look for

• Strong background in backend systems, platforms and database design.
• Experience building agentic systems, LLM applications, or orchestration frameworks
• Experience with security, sandboxing, or isolation in distributed systems
• Deep intuition for model behavior, evaluation, and performance tradeoffs
• Ability to design simple abstractions over complex AI and systems problems

Why this role matters

• You will define how AI agents run safely in production at global scale
• You will solve problems at the boundary of agentic AI, security, and distributed systemsYou will help build the platform that turns AI into dependable software infrastructure