Software Engineer (AI Platform)

Software Engineer (AI Platform)

Company: Superblocks
Location: New York, NY (in office 5 days per week)
Compensation: $200,000 - $240,000 + 0.10% - 0.25% equity
Employment Type: Full-time
Visa Sponsorship: H-1B transfers and TN only

About Superblocks

Superblocks is an AI app generation platform that powers mission-critical internal operations at global enterprises such as Instacart, Credit Karma and Carrier, bringing business, IT and engineering teams together to build production-grade internal apps with AI, with central governance, access controls, version control, audit logs and observability.

Founded in 2021, Superblocks has raised $60M from Kleiner Perkins, Spark Capital, Greenoaks and Meritech Capital, along with founders of Datadog, Workday, Box and Okta.

The Role

Superblocks is hiring a Software Engineer (2+ years) to join a small, elite team building a frontier AI coding agent that lets non-engineers create production-grade enterprise software. You will work directly with the CTO (a former founding engineer at Confluent) on making AI agents accurate, safe and production-ready at scale, as roughly 5% of the engineering team with major ownership.

What You Will Do

• Build an AI continuous-learning system with short-term memory, persistent memory and organizational knowledge graphs, so the agent becomes an expert on each customer's data.
• Build AI coding agents that generate, run, debug and test code, handling failures and feedback loops.
• Design new human-AI interactions and feedback loops for enterprise users.
• Build centralized governance for apps, workflows, agents, secrets and policies.
• Solve problems at the intersection of agentic AI, security and distributed systems at global scale.

What You Bring

• 2+ years of software engineering experience
• Strong backend and distributed systems skills in Python
• Experience with LLMs and agentic AI frameworks
• Ability to work in the New York office 5 days a week
• Work authorization without new sponsorship (H-1B transfers and TN supported)

Tech Stack

Python, LLMs, agentic AI frameworks, distributed systems, sandboxing/isolation, knowledge graphs, database design, Kubernetes