AI Engineer, Agentic Development

Project Manager For Agent-Driven Software Delivery

High Level
- Building enterprise software applications using a fully/primarily agentic workflow. Supervising AI agents doing development, not traditional software engineering, accelerated by the use of AI. Specific
- Focus on K‑12 routing - delivering a complete, scalable transportation solution that helps school districts move students more efficiently while protecting taxpayer dollars. By optimizing routes, fleets, and driver assignments, it reduces wasted miles, fuel, and labor. Unlike legacy third‑party routing tools built for small districts and unable to scale, this platform is designed for the real complexity of modern K‑12 systems.

It gives districts the power to adapt quickly, operate transparently, and run transportation as a strategic asset rather than a cost burden. This role leads agent‑driven software delivery, focusing on what to build, how to structure it, and how to guide AI coding agents to produce reliable, production‑ready software. Success is measured not by typing code but by the judgment to translate business problems into clear specifications, decompose work for agents, supervise their output, and enforce quality, architecture, and governance standards.

You will design, build, evaluate, and operate AI‑enabled systems—such as routing assistants, dispatcher copilots, and parent‑facing agents—while working primarily on new tools in React, React Native, and AWS. You will create the scaffolding that keeps agent output aligned, build tests and guardrails, evaluate models, ensure FERPA‑compliant practices, and collaborate with architecture, security, and AI governance as part of a small, high‑impact AI pod.

This role requires initiative, judgment, and clear communication. You should be comfortable clarifying ambiguous objectives, making progress with limited direction, escalating risks early, building trust with stakeholders, and documenting the decisions behind your work. Strong agent-driven engineering requires more discipline, not less. You will be expected to set clear constraints, verify output rigorously, and maintain ownership of the quality of what ships.

Key Responsibilities:

• Lead agent‑driven delivery — Turn business problems into specs, constraints, and plans AI agents can execute; run agents in parallel; review and integrate their output.
• Maintain quality and architecture — Build harnesses, tests, rules, and checkpoints that constrain agent drift; review code for correctness, security, and maintainability.
• Build and operate AI systems — Use APIs, RAG, DAGs, multi‑agent workflows, and model evaluation to deliver reliable, monitored, governed AI features.
• Collaborate across the enterprise — Work with stakeholders, architecture, security, and governance to align solutions with standards and manage risk.