Principal Software Engineer, AI

present of AI

New York (NY)

Vor Ort

USD 180.000 - 260.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Shipped agent product at scale

Zusammenfassung

PermitFlow seeks an experienced engineer to design AI agents that read construction documents, extract project data, and file permit forms. You will own agent architecture, reasoning loops, and evaluation systems to ensure reliable, scalable production services.

The role combines production engineering with domain grounding, offering hands-on work in tool integration, memory management, and secure decision checkpoints.

Qualifikationen

  • Hands-on engineer with experience shipping agent products at scale (production ready).
  • Experience running services in production and maintaining reliability.
  • Familiarity with agent reasoning, memory, and document handling.

Aufgaben

  • Design and own long-running AI agents that read construction docs and extract details.
  • Develop reasoning loops, context handling and tool use with human checkpoints.
  • Build evaluation systems to guide team decisions and improve reliability.

Kenntnisse

Agent architecture
Tool calling
Retrieval systems
Memory management
Production service ownership

Tools

Agent platforms
Orchestration tooling
Evaluation harnesses

Jobbeschreibung

This role owns the design of long running AI agents that read construction documents, pull out project details, check requirements and fill in forms for permit filing. A strong candidate has shipped agent products at real scale and is also a hands on engineer who has run services in production. The work spans agent reasoning, retrieval and memory over documents, tool permissions with human checkpoints, and evaluation systems that guide the team.

How it fits the AI era

The core of this job is AI work: building the reasoning loops, context handling and tool use that let agents complete permit tasks. What stays human is judgment about which actions are costly or irreversible, where checkpoints belong, and what makes an evaluation trustworthy. The engineer also spends real time watching the assistant fail with permit coordinators and turning that into design.

How it builds AI experience

Someone here would gain deep practice in agent architecture, context engineering and evaluation harnesses applied to a document heavy, rules heavy domain. Building this at a company that files permits with local authorities means learning how to make agents reliable when errors carry real cost. That mix of production agent work and domain grounding is hard to find elsewhere.

Worth showing

  • Shipped agent product at scale
  • Tool calling and orchestration
  • Retrieval and memory systems
  • Production service ownership

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About PermitFlow

AI agents that handle construction permitting end to end for builders, from pulling project data to filing forms with local authorities and tracking approvals.

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