devops_monkey
Republic Services is the second largest environmental services companies in North America — ~40K employees, thousands of trucks, hundreds of facilities, and a mountain of operational data that has never had an AI layer on top of it. We have a backlog of hundreds of Agentic AI ideas that we need to deliver and a foundation of ontologies, evaluations, guardrails, etc... that we need to build.
We're hiring a Staff Engineer now to be the first hire and plan to expand the team aggressively. You will own that platform end to end, not manage the people.
What you'll work on
- Agent orchestration: tool calling, planner/executor and multi-agent patterns, MCP/A2A integrations with enterprise systems
- Making enterprise context reliably available at inference time — retrieval, memory, hybrid search, reranking, access controls
- LLMOps that isn't hand-wavy: evals and golden datasets, prompt/agent versioning, tracing, token and cost budgets, CI/CD for agents
- Safety in a regulated enterprise: prompt injection, data exfiltration, PII handling, human-in-the-loop, audit logging
You should have
- 7–10+ years building and scaling production systems, with recent, hands-on GenAI/agentic work in production (not just demos)
- Shipped agents or LLM pipelines at scale
- Solid data chops — vector stores, chunking, hybrid search, knowing when retrieval is the wrong answer
- Cloud experience (we're primarily AWS / Bedrock); comfortable with both containers and serverless
- Track record of technical leadership and mentoring without needing a manager title
Nice to have: LangGraph / Semantic Kernel / PydanticAI, GraphRAG, knowledge graphs, LangFuse/LangSmith, multimodal.
Comp & benefits: $175k is our midpoint for salary + 20% annual target bonus, 401(k) with company match, ESPP, medical/dental/vision, PTO. Remote eligible, prefer AZ timezones +/-1. Not sponsorship eligible.
Why you should want to work here: We build cool stuff
email me ([email protected]) directly with the most interesting agent you've shipped.
https://jobs.republicservices.com/us/en/job/R-179963/Staff-E...
We may consider strong candidates outside of Arizona, but we are hoping to find someone that can come into the office on occasion so we prefer Az based.
This role does not have an in-office requirement but would need to come in for certain meetings/events, likely once a week.
We are not sponsoring Visas at this time
Salary mid point: $165k + 20% bonus target (depends on company performance)
Not accepting agency submissions
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’ll also play a key leadership role in shaping platform standards around reliability, observability, governance, and responsible AI. We want someone who can partner credibly with senior leaders, drive execution across teams, and turn GenAI from experimentation into durable business value.
DM me or apply here https://wd5.myworkday.com/republic/d/inst/15$392530/9925$288...
Location: Remote in the US with a preference for people Arizona (but not mandatory)
Comp Range: $132,600- $182,250 DOE.
Sponsorship: Not at this time