I AM HIRED

Неделя 310 ₽Месяц 630 ₽3 месяца 1 680 ₽Год 5 680 ₽

Artificial Intelligence Engineer — Houston, TX — LinkedIn — 4487969019

ML и AI, AI-инженерия · сегодня, 00:51 · 10.11.2026

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Компания: ••••••••

Локация: Houston, TX

Формат: не указан

Занятость: Контракт

Грейд: Middle

**No C2C Submissions**

We are seeking an AI Engineer to be part of a small AI pod consisting of one Lead AI Engineer and two AI Engineers, focused on building AI agents for a specific corporate function, such as Supply Chain, Finance, or HR.

Working closely with the Lead AI Engineer, this person will be responsible for building, deploying, evaluating, and sustaining AI agents that address real business workflows and challenges. They will take business requirements identified by the pod and turn them into production-ready AI solutions.

The ideal candidate has hands-on experience with the full lifecycle of an AI agent, from development and deployment through evaluation, monitoring, and continuous improvement. They should be able to clearly explain what they built, how they evaluated it, and how the solution made the end user's work easier or more efficient.

Must Haves

• Hands-on experience building and deploying AI agents in production

• Experience with LangGraph or similar agent orchestration frameworks, including building stateful, tool-using or multi-step agent workflows

• Experience with AI agent evaluation, including testing agent outputs, reliability, performance, and effectiveness

• Experience monitoring, troubleshooting, and improving agents after deployment

• Strong Microsoft Azure experience, including deploying AI solutions in Azure

• Experience working within a Microsoft technology stack

• Computer Science, Data Science, or related technical background

• Experience working in enterprise environments

• Ability to clearly articulate the business use case and impact of AI agents they have personally built

Plusses

• Databricks experience

• Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, or Azure AI Search

• Experience with RAG, multi-agent systems, or complex agentic workflows

• Experience working across different enterprise environments, business units, or technical teams

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