Structural engineer • killeen tx
We're hiring an Agent Engineer to design, ship, and harden production AI agents end-to-end.What you'll do - Design and ship production AI agents — orchestration, composition, state management.Build...Show more
Construction Surveillance Technician (CST) - DoD.The Construction Surveillance Technician (CST) supports Department of Defense secure construction projects by detecting, deterring, and neutralizing...Show more
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Belong, Connect, Grow, with KBR!.THIS POSITION IS LOCATED IN JACKSONVILLE, FLORIDA.The Marine Corps Prepositioning Program (MCPP) is based in Jacksonville, Florida.We provide maintenance and logist...Show more
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Gerber Collision & Glass - 2822 Veterans, Killeen, TX.The Auto Body Technician's primary responsibility and accountability includes providing an exceptional and successful customer experience throu...Show more
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Role Overview** Mercor is partnering with leading AI labs on **Project Atlas** — an initiative to build realistic enterprise environments that frontier AI agents are trained and evaluated in.We're ...Show more
The average salary range is between $ 78,967 and $ 135,731 year , with the average salary hovering around $ 97,500 year .
We're hiring an Agent Engineer to design, ship, and harden production AI agents end-to-end.
What you'll do - Design and ship production AI agents — orchestration, composition, state management. - Build eval and reliability tooling for agents running thousands of times a day. - Contribute to institutional-knowledge capture and retrieval systems (tribal knowledge, RAG, meeting-notes agents). ## What we look for - Hands-on experience shipping agents in production — professional, OSS, or personal all count. - Clear opinions on orchestration frameworks (LangGraph, AutoGen, CrewAI, Temporal, home-grown DAG executors). - Comfort reasoning about multi-agent composition, state shape, and failure modes. - Experience building eval stacks for agents at scale (offline sets, canary, shadow deploys, LLM-as-judge). - Concrete thinking — named tools, real tradeoffs, specific regressions. ## Interview topics (async, ~20 min, AI-led) 1. Agent systems you've built — orchestration approach, build-vs-buy, framework tradeoffs. 2. Composition & state — how agents trigger each other, state shape per hop, failure handling. 3. Evals & reliability — offline + online + canary layers, concrete regression stories. 4. Institutional knowledge — capture systems you've built or admired, retrieval gaps, where knowledge decays. ## After you accept the offer I'd love to schedule a brief live follow-up to dig into your async answers. Strong signals move to a live conversation with the team.
