Eqtcorporation AI Engineer at EQT responsible for building and maintaining AI agent tools and capabilities, configuring prompt agents, and optimizing agent fleet in production. Collaborates with AI specialists and domain experts.
Responsibilities
You think agentically. You trust reasoning models to do most of the heavy lifting, and you reach for deterministic code where the outcome must be guaranteed, not by default.
You build for flexibility. You'd rather ship an agent that improves as models get better and cheaper than hardcode every scenario and fall behind.
You favor progress over perfection. You'd rather get many useful agents live and improve them than polish one forever.
You make others better. You enjoy building the tools and patterns that let business users and new builders do more on their own.
You're excited about where AI is going. You follow the field, try new models and tools as they land, and want to help an organization change how it works.
Build and maintain shared agent tools and capabilities.
Configure Foundry prompt agents: instructions, model selection, tool assignments, permissions, and guardrails, ready for others to test and tune.
Customize and extend tools when an agent needs something the shared set doesn't yet cover.
Partner with AI Specialists and domain experts as they test against real cases, and coach them on prompt design and evaluation.
Deploy agents and monitor the fleet through the Foundry control plane: evaluations, monitoring and alerts, audit trail, and cost.
Optimize agents in production, and recognize when a deployment is drifting or needs tighter guardrails, better data, or a narrower scope.
Build pro-code hosted agents or specialized tooling when review shows a prompt agent can't do the job reliably.
Qualification
Stay current with models
Required
Help shape the Agent Factory standards and share what you learn, so the next agent is faster to build than the last.
Stay current with models, agent frameworks, and Foundry features, and bring forward ideas that move more work from code to reasoning.
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: 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 the right answer versus when a well-designed prompt and the right tools are simpler and just as successful.
Clear communicator who can explain technical tradeoffs to business partners and coach non-engineers as they test and tune agents.
Experience with Microsoft Foundry (Azure AI Foundry): prompt agents, hosted agents, tools, evaluations, and the control plane.
Exposure to agent frameworks and protocols such as Model Context Protocol (MCP), LangGraph, Semantic Kernel, or similar.
Preferred
Remote work is being considered for this role excluding the following states: California, Connecticut, Delaware, Illinois, Indiana, Louisiana, Massachusetts, Michigan, New Jersey, New York, and Tennessee unless willing to relocate.
Selected incumbent will be placed into the position that best suits their abilities and experience level.
EQT Corporation and its subsidiaries is an Equal Opportunity Employer -- Disabilities/Veterans.