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AI Agent Developer

Role overview

Qualifications

  • Large Language Models (LLMs)
  • Prompt Engineering
  • RAG Architecture
  • Conversational AI

Responsibilities

  • Design, develop, and deploy AI agents using Microsoft Copilot Studio
  • Integrate AI agents with enterprise systems, APIs, databases, and third-party platforms
  • Develop and optimize Retrieval-Augmented Generation (RAG) solutions
  • Monitor agent performance and continuously improve response quality

About the company

Workiy Inc. logo

Workiy Inc.

IT Services & IT Consulting

Workiy provides digital solutions and staffing services, utilizing our patented delivery model and a unique and flexible, client-centric approach to tackling technology's biggest challenges. We don’t have “clients” we have partners! Our mission is to enable your talented teams and amazing systems to assist your business in optimally achieving its goals. The Workiy team, brings to the table, more than 20+ years of experience in the technology industry across many verticals in both the private and public sector.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size11 - 50

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Job description

This is a remote position.

Design, develop, and deploy AI agents using Microsoft Copilot Studio.

·       Build conversational experiences that answer user questions, automate tasks, and execute business workflows.

·       Integrate AI agents with enterprise systems, APIs, databases, SharePoint, Microsoft 365, and third-party platforms.

·       Develop and optimize Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources.

·       Create and manage Power Automate workflows and AI-driven business processes.

·       Configure agent topics, actions, plugins, connectors, and orchestration logic.

·       Implement governance, security, compliance, and responsible AI practices.

·       Monitor agent performance, usage metrics, and continuously improve response quality.

·       Collaborate with business stakeholders to identify automation opportunities and define AI use cases.

·       Support production deployment, troubleshooting, and operational excellence of AI solutions.

Requirements

AI & Generative AI

·       Large Language Models (LLMs)

·       Prompt Engineering

·       RAG Architecture

·       AI Agent Design

·       Conversational AI

·       Natural Language Processing (NLP)

Microsoft Technologies

·       Microsoft Copilot Studio (preferred)

·       Microsoft 365 Copilot

Development

·       Python

·       JavaScript / TypeScript

·       REST APIs

·       JSON

·       Angular/React

·       Java

Cloud & Data

·       Microsoft Azure

·       Azure OpenAI

·       Azure AI Services

·       SQL Server

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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