This is a job posting for an AI Staff Engineer at Republic Services, a large waste management company. The role involves leading the design and implementation of enterprise-grade GenAI and agentic AI solutions, translating business problems into AI applications, and setting technical standards. It's a senior leadership position with a strong focus on productionizing AI for measurable business impact.
A starter prompt for Claude Code, what you'll need, and how to reach them.
You are an expert AI Staff Engineer. Your task is to develop a compelling portfolio piece demonstrating your ability to design and build core services, APIs, and orchestration pipelines that connect LLMs and agentic workflows to enterprise data and systems, specifically for a waste management company like Republic Services. Focus on a single high-value opportunity: 'Predictive Maintenance for Waste Collection Fleet'. Build a minimal viable prototype (MVP) using Next.js 16 (App Router), React 19, Tailwind v4, and AI SDK v6 with Gemini. The backend should use Neon Postgres for data storage. The MVP should: 1. **Data Ingestion Mockup**: Simulate ingesting telemetry data (e.g., engine diagnostics, fuel consumption, GPS routes) from a fleet of waste collection vehicles. Use a simple JSON array in the backend or a small Postgres table for this mock data. 2. **AI Agent for Anomaly Detection**: Implement an AI agent that monitors this mock telemetry data. The agent should be able to identify potential anomalies indicating impending mechanical failure or inefficient operation (e.g., sudden drop in fuel efficiency, unusual engine temperature spikes, deviations from optimal routes). 3. **Alerting & Recommendation API**: When an anomaly is detected, the agent should trigger an internal API endpoint (mocked or actual) to log the anomaly and generate a concise, actionable recommendation (e.g., 'Schedule maintenance for Vehicle ID X, check hydraulic system pressure') using an LLM. 4. **Simple Dashboard**: Create a minimalist Next.js frontend dashboard that displays a list of vehicles, their current 'status' (e.g., 'Operating Normally', 'Anomaly Detected'), and allows clicking on a vehicle to view its mock telemetry data and any generated maintenance recommendations. 5. **Orchestration**: Briefly outline (in comments or a README) how this agent would integrate with real-world enterprise systems like a CMMS (Computerized Maintenance Management System) or ERP for work order creation. Your goal is to demonstrate: strong engineering depth, ability to translate ambiguous problems into practical AI solutions, and a focus on production-grade, scalable services. Provide clear code structure, API design, and a README explaining the architecture and future scalability. Use modern best practices for a full-stack Next.js application. Include a `build.sh` script to set up the environment and run the app.
Republic Services is hiring for advanced AI engineering; Lumivara could showcase expertise in agent orchestration and prompt evaluation through 'agent-eval-lab' and 'mcp-kit' to demonstrate relevant platform-level capabilities.
Republic Services | AI Staff Engineer | WFH in Arizona preferably, will consider remote | $132,600- $182,250 + Bonus We’re hiring an AI Staff Engineer to help lead the next wave of enterprise software built with GenAI and agentic AI. This is a senior technical leadership role for someone who can combine strong engineering depth with real business partnership and influence across product, data, architecture, and executive stakeholders. You’ll work closely with business leaders, product managers, and data scientists to identify high-value opportunities where AI can reduce friction, improve efficiency, lower risk, and create measurable business impact. A big part of the role is translating ambiguous business problems into practical AI-enabled solutions and helping leaders make smart decisions about where and how to invest. On the technical side, you’ll design and build core services, APIs, and orchestration pipelines that connect LLMs and agentic workflows to enterprise data, systems, and digital platforms. You’ll provide technical direction to distributed engineering teams, lead design and code quality practices, and help teams ship secure, scalable, production-grade solutions. You’l
Standard Next.js deployment platform.
Standard managed Postgres for Vercel deployments.
Standard AI SDK integration with Gemini.
New: Research common enterprise integration patterns and APIs (e.g., for CMMS, ERP, CRM) - ~1 day.
Learn it: Search getting-started ↗
New: Study patterns like function calling, tool use, and basic agentic loops for LLMs - ~2-3 days.
Learn it: Search getting-started ↗
DM 'devops_monkey' on Hacker News or apply directly via the provided Workday link: https://wd5.myworkday.com/republic/d/inst/15$392530/9925$288...
“I saw your AI Staff Engineer role and have built a targeted prototype for predictive maintenance of a waste fleet, demonstrating practical GenAI and agentic AI for enterprise. This directly addresses your need for translating ambiguous problems into production-grade solutions. Here's a demo and an architectural overview showcasing my engineering depth and business impact focus.”
Open the original ↗