AI Engineer I, II, III

Job not on LinkedIn

🔥 15 minutes ago

🏄 California, Connecticut, +7 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote ⚜️ Louisiana – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote 🎸 Tennessee – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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EQT Corporation

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501 - 1000 employees

Founded 1888

⚡ Energy

📋 Compliance

Energy • Compliance • Environmental

EQT Corporation is America's only large-scale, vertically integrated natural gas producer focused on delivering affordable, reliable, and clean energy. The company aims to operate responsibly while achieving Net Zero emissions for Scope 1 and Scope 2 greenhouse gas emissions, demonstrating a strong commitment to environmental sustainability. EQT is dedicated to creating long-term value for its stakeholders, including employees, landowners, and investors, while continuously improving practices in natural gas production and community engagement.

📋 Description

• Build and maintain shared agent tools and capabilities • Configure Microsoft Foundry prompt agents, including instructions, model selection, tool assignments, permissions, and guardrails • Customize and extend tools when shared capabilities do not cover an agent's needs • Partner with AI Specialists and domain experts testing agents against real cases • Coach collaborators on prompt design and evaluation • Deploy agents and monitor the fleet through the Foundry control plane, including evaluations, monitoring, alerts, audit trail, and cost • Optimize production agents and identify deployment drift, guardrail needs, data improvements, or scope changes • Build pro-code hosted agents or specialized tooling when prompt agents are not sufficiently reliable • Ensure agents follow security and identity standards • Help shape Agent Factory standards and share learnings • Stay current with models, agent frameworks, and Microsoft Foundry features

🎯 Requirements

• Bachelor's degree in a technical discipline (computer science, engineering, information systems, or similar), or an equivalent combination of education and experience • 3+ years of professional experience in software engineering, data engineering, or AI/ML roles • Hands-on experience building LLM-based agents or applications, including prompt design, tool calling, retrieval, and evaluating outputs against real cases • Solid software engineering fundamentals in Python, including git, code review, testing, and working with APIs • Working experience with Microsoft Azure or a similar cloud platform, including identity, permissions, and secrets management • Comfort working across enterprise systems and data, including SQL and integrating with platforms like Salesforce and Databricks • Judgment about when code is appropriate versus when a well-designed prompt and tools are simpler and equally successful • Ability to explain technical tradeoffs to business partners and coach non-engineers testing and tuning agents • Preferred: Experience with Microsoft Foundry (Azure AI Foundry), including prompt agents, hosted agents, tools, evaluations, and the control plane • Preferred: Exposure to agent frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Semantic Kernel, or similar • Preferred: Working knowledge of Salesforce configuration, security model, and Flow, plus the Databricks ecosystem including Unity Catalog and Databricks SQL • Preferred: Experience operating AI in production, including monitoring, evaluation harnesses, cost tracking, PII handling, guardrails, and human-in-the-loop review

🏖️ Benefits

• Transparent Leadership with collaborative work alongside leaders • Connected Impact through work influencing critical business decisions and driving value across operations • Supported Growth through cross-functional collaboration, development opportunities, and career advancement • Remote work consideration (subject to state exclusions and relocation)

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