Recent submissions

Comment · 2 months ago
Republic Services | Staff Engineer – Agentic AI | REMOTE (US) | Full-time | $175k is our salary midpoint + 20% target bonus

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.

Comment · 2 months ago
Comment · 3 months ago
Hey everyone, I'm hiring an Agentic AI staff engineer to build out our Agentic AI platform for agent use cases across our entire organization.

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

Comment · 5 months ago
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’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...

Comment · 6 months ago
Comment · 2 years ago
I just threw up a little bit in my mouth
Comment · 4 years ago
Hey dec-fairstreet, would you be interested in someone that could be part-time (say 20-ish hours a week). I know node, TS, and AWS very well. Not much react, but I do some Angular and have done a lot of RDMS but not postgres specifically
Comment · 4 years ago
I have been searching for something similar. It seems like in the 90s up to the 2010s-ish there were some great books on the subject (code complete, pragmatic programmer, clean code, etc.). But I have yet to find a book of similar caliber that is a modern version of those books. Would love to see what others are reading along these line, books or other wise.
Comment · 4 years ago
Comment · 4 years ago
This is actually the "best" answer for our plastics problem. There was an NPR/Planet Money podcast on it recently here: https://www.npr.org/2020/09/11/912150085/waste-land and there are plenty of other sources that all agree on this premise. I have worked in waste management a few years ago and recycling is not the long-term solution.
Comment · 7 years ago
Artificial General Intelligence --- boom!
Comment · 7 years ago
Burning waste to generate energy is unfortunately the least impactful to the environment. The best is obviously reduce, reuse.
Comment · 7 years ago
IT doesn't get to attend Waste Expo, but we can go to WasteCon in Phoenix this year.
Comment · 7 years ago
I'm an software engineer as well. I work for one of the top 3 waste management companies. I've worked on both consumer side web/mobile apps as well as operations side projects, both in hauling and MRF operations.
Comment · 7 years ago
It can be, but in some cases there are simply no buyers at any price point. And there's no way anyone is going to spend more money building larger warehouse to hold the commodity. So it get stacked until the warehouse is full, then operators have no choice but to put it in the landfill.

Live from the official Hacker News API

A modern reader for Hacker News · SvelteKit + Skeleton