AI Agent Developer

Evanston, IL - USA

Monthly Salary: Not Disclosed

Posted on: 29-10-2025

Vacancies: 1 Vacancy

Job Summary

Job Title: AI Agent Developer
Primary Location: Hybrid 2-3 days in Evanston IL
Position Type: 6 mos. Contract with the possibility to extend or convert

Overview
TalentFish is casting a line for an AI Agent Developer. This is a 6 mos. contract with possible extension or conversion role in Evanston IL.

We are seeking an AI Agent Developer to support the rapid development of AI agents across our clients enterprise. This role will focus on building intelligent scalable and secure AI solutions using Microsoft Copilot Studio Azure AI Foundry and Power Platform. The ideal candidate will be hands-on collaborative and experienced in these environments with a strong understanding of Microsofts AI ecosystem.

What You Bring to the Role. (Ideal Experience)

Hands-on experience building AI agents with Microsoft Copilot Studio Azure AI Foundry and Power Platform.
Proficiency with Azure AI Foundry Azure AI Services and integrating LLMs into enterprise applications.
Strong understanding of LLMs prompt engineering and AI agent orchestration.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Excellent communication and documentation skills.

Preferred Qualifications:

Experience with GitHub Copilot M365 Copilot Studio Azure AI Foundry and Azure AI Services.
Background in IT operations digital transformation or enterprise AI enablement.
Familiarity with Microsofts AI training paths and scenario libraries.
Experience with M365 Copilot extensibility including custom skills connectors and plugin development.
Familiarity with deploying agents in Microsoft Teams Outlook or other Microsoft 365 applications.
Awareness of Microsofts Responsible AI principles and AI scenario libraries.
Experience integrating with enterprise tools such as ServiceNow Salesforce or internal REST APIs.
Knowledge of GitHub Copilot or similar AI coding assistants.

What Youll Do. (Skills Used in this Position)

Design build and deploy enterprise-ready AI agents using Microsoft Copilot Studio Azure AI Foundry Power Automate and Power Apps.
Integrate various LLMs for advanced language vision and audio capabilities.
Leverage retrieval-augmented generation (RAG) vector databases and grounding techniques to provide contextually accurate responses from enterprise data sources (e.g. SharePoint Dataverse internal APIs).
Collaborate with business stakeholders to gather requirements and translate them into AI-powered workflows and agents.
Monitor and optimize agent performance through feedback loops telemetry and analytics (e.g. Azure Monitor M365 Admin Center).
Ensure all agents comply with enterprise governance data privacy and Responsible AI standards.
Participate in agile delivery sprints to prototype iterate and scale AI solutions quickly.
Build processes create documentation and provide knowledge transfer to internal teams.

Compensation Information
The expected salary range for this position is $70-90 per hour depending on experience and qualifications. This role also qualifies for comprehensive benefits such as health insurance 401(k) and paid time off. TalentFish is committed to pay transparency and equal opportunity. The salary range provided is in compliance with applicable state and federal regulations.

This role requires authorization to work in the U.S. without current or future visa sponsorship.

All offers are contingent upon the completion of a background check which may include but is not limited to reference checks education verification employment verification drug testing criminal records checks and any required certifications or compliance requirements based on the end clients background check policies and applicable laws.

TalentFish is an employee-owned company pioneering a new realm in talent acquisition. We are redefining IT staffing by evolving AI video screening and our unique platform. TalentFish focuses on providing the best employee consultant and client experience possible.
At TalentFish we are an Equal Opportunity Employer; we embrace and encourage diversity!

Job Title: AI Agent DeveloperPrimary Location: Hybrid 2-3 days in Evanston ILPosition Type: 6 mos. Contract with the possibility to extend or convertOverviewTalentFish is casting a line for an AI Agent Developer. This is a 6 mos. contract with possible extension or conversion role in Evanston IL.We ...

Hands-on experience building AI agents with Microsoft Copilot Studio Azure AI Foundry and Power Platform.
Proficiency with Azure AI Foundry Azure AI Services and integrating LLMs into enterprise applications.
Strong understanding of LLMs prompt engineering and AI agent orchestration.
Ability to work independently and manage multiple priorities in a fast-paced environment.
Excellent communication and documentation skills.

Preferred Qualifications:

Experience with GitHub Copilot M365 Copilot Studio Azure AI Foundry and Azure AI Services.
Background in IT operations digital transformation or enterprise AI enablement.
Familiarity with Microsofts AI training paths and scenario libraries.
Experience with M365 Copilot extensibility including custom skills connectors and plugin development.
Familiarity with deploying agents in Microsoft Teams Outlook or other Microsoft 365 applications.
Awareness of Microsofts Responsible AI principles and AI scenario libraries.
Experience integrating with enterprise tools such as ServiceNow Salesforce or internal REST APIs.
Knowledge of GitHub Copilot or similar AI coding assistants.

What Youll Do. (Skills Used in this Position)

Design build and deploy enterprise-ready AI agents using Microsoft Copilot Studio Azure AI Foundry Power Automate and Power Apps.
Integrate various LLMs for advanced language vision and audio capabilities.
Leverage retrieval-augmented generation (RAG) vector databases and grounding techniques to provide contextually accurate responses from enterprise data sources (e.g. SharePoint Dataverse internal APIs).
Collaborate with business stakeholders to gather requirements and translate them into AI-powered workflows and agents.
Monitor and optimize agent performance through feedback loops telemetry and analytics (e.g. Azure Monitor M365 Admin Center).
Ensure all agents comply with enterprise governance data privacy and Responsible AI standards.
Participate in agile delivery sprints to prototype iterate and scale AI solutions quickly.
Build processes create documentation and provide knowledge transfer to internal teams.