AI Engineer I, II, III

EQT Corporation

. Build and maintain shared agent tools and capabilities .

Posted 11/9/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining LLM-based agents and applications, with a strong foundation in Python and cloud platforms like Microsoft Azure. Capable of optimizing agent performance, ensuring compliance with security standards, and effectively collaborating with AI specialists and business partners.

Highest-signal resume keywords

LLM-Based Agent DevelopmentPython ProgrammingMicrosoft Azure ExperiencePrompt Design and EvaluationAgent Frameworks Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software Engineering FundamentalsPrompt DesignTool CallingAPI IntegrationSQL ProficiencyData EngineeringCode ReviewTesting MethodologiesMonitoring and EvaluationCost Tracking

Soft Skills

Coaching Non-EngineersTechnical Tradeoff ExplanationCollaboration with Domain Experts

Tools & Technologies

Microsoft FoundrySalesforceDatabricksGitControl Plane

Certifications & Qualifications

Bachelor's Degree in Technical Discipline

Industry Keywords

AI/ML RolesEnterprise SystemsSecurity and Identity StandardsModel Context ProtocolSemantic Kernel

Tech Stack

Tools & technologies

AzureCloudPythonSQLUnity

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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)