Software Engineer (AI Platform)
Software Engineer (2+ years) at Superblocks in New York building an AI coding-agent platform that lets non-engineers create production-grade internal apps. Day-to-day: LLM agents, memory/knowledge graphs, governance and distributed systems work in Python, on-site 5 days/week alongside the CTO.
- Compensation
- $200K–$240K / yr
- Location
- New York, New York, United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 2+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 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)
Full description
Software Engineer (AI Platform)
Company: Confidential — AI app generation platform
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 the Company
The client 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, the client has raised $60M from Kleiner Perkins, Spark Capital, Greenoaks and Meritech Capital, along with founders of Datadog, Workday, Box and Okta.
The Role
The client 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
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