AI Engineer: Permitting Automation & Agent Workflows

GreenLite Technologies, Inc.; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Competitive base salary

Employee Equity Program

Health Coverage

401(k) with company match

Parental Leave

Unlimited PTO

Hybrid NYC office

Job summary

GreenLite Technologies, Inc. is hiring a senior AI engineering leader to design and ship production agent workflows that automate construction plan review.

You will operationalize on Bedrock AgentCore, wire agents to building-code knowledge via RAG, and collaborate with product/design to build agent-first reviewer UX in LiteTable. You will lead the creation of fault-tolerant data pipelines with observability, define evaluation testbeds, and mentor engineers while partnering with architectural

Qualifications

• 4–12+ years shipping high-reliability backend or ML systems (Python/TypeScript).
• Experience with cloud infra (AWS) and containers (ECS/EKS).
• CI/CD, IaC, and secure integration patterns.

Responsibilities

• Design & ship production agents with LangGraph/Strands‑based tooling.
• Operationalize on Bedrock AgentCore (Runtime, Gateway, Memory, Identity).
• Build evaluation suites and safety guardrails for agent workflows.
• Coordinate with Data to wire agents to building-code knowledge (RAG).
• Collaborate on UX for agent-first reviewer UX in LiteTable.
• Establish reliable, observable, fault-tolerant flows and on-call playbooks.
• Provide technical leadership and create reusable templates for agent patterns.

Skills

LangGraph

Strands Agents

Bedrock AgentCore

Python/TypeScript

AWS

CI/CD

Tools

Pinecone

S3 Vectors

Job description

GreenLite Technologies, Inc. is hiring a senior AI engineering leader to design and ship production agent workflows that automate construction plan review.

You will operationalize on Bedrock AgentCore, wire agents to building-code knowledge via RAG, and collaborate with product/design to build agent-first reviewer UX in LiteTable. You will lead the creation of fault-tolerant data pipelines with observability, define evaluation testbeds, and mentor engineers while partnering with architectural