TalentFish
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Primary Location: Hybrid 2-3 days in Evanston, IL
Position Type: 6 mos. Contract with the possibility to extend
Overview
TalentFish is casting a line for an AI Agent Developer. This is a 6 mos. contract with possible extension role in Evanston, IL. We are seeking an AI Agent Developer to support the rapid development of AI agents across our client's 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 Microsoft's 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 Microsoft's 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 Microsoft's 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 You'll 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 $70-100 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 client's 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! Notes
Referrals increase your chances of interviewing at TalentFish by 2x
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TalentFish is casting a line for an AI Agent Developer. This is a 6 mos. contract with possible extension role in Evanston, IL. We are seeking an AI Agent Developer to support the rapid development of AI agents across our client's 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 Microsoft's 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 Microsoft's 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 Microsoft's 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 You'll 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 $70-100 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 client's 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! Notes
Referrals increase your chances of interviewing at TalentFish by 2x
#J-18808-Ljbffr