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Job Description & How to Apply Below
This role will focus on building real-world AI use cases using Microsoft Copilot Studio, Power Platform, and modern LLM frameworks , enabling organizations to automate processes, augment decision-making, and enhance user experiences.
Key Responsibilities
Build AI Copilot Solutions
Design and implement AI copilots using Microsoft Copilot Studio
Build conversational AI agents for internal and external enterprise use cases
Develop AI assistants for knowledge retrieval, workflow automation, and decision support
Integrate AI with Enterprise Systems
Integrate copilots with:
Microsoft 365
Power Platform (Power Automate, Power Apps)
Dynamics 365
Share Point
Azure services
Connect copilots with external APIs, databases, and business applications
Develop Intelligent AI Workflows
Build agentic workflows and automation pipelines
Implement RAG (Retrieval-Augmented Generation) for enterprise knowledge bases
Use Azure OpenAI or other LLMs for advanced reasoning and conversational intelligence
Use Case Development
Design copilots for scenarios such as:
Customer service automation
IT helpdesk assistants
HR onboarding copilots
Knowledge assistants for internal teams
Healthcare / enterprise workflow automation
Document Q&A copilots
AI Governance & Optimization
Ensure secure and responsible AI deployment
Implement prompt engineering, testing, and optimization
Monitor performance and improve accuracy
Required Skills
Core AI Skills
Strong understanding of LLMs and Generative AI
Experience with prompt engineering
Knowledge of RAG architectures
Microsoft Ecosystem
Microsoft Copilot Studio
Power Platform
Power Automate
Power Apps
Azure OpenAI
Azure AI services
Programming
Python or Java Script
REST APIs
Integration development
Data & AI Tools
Vector databases (Pinecone, Azure AI Search, etc.)
Lang Chain / Semantic Kernel (nice to have)
Preferred Experience
Experience building enterprise copilots or AI assistants
Experience with agentic AI systems
Experience integrating AI with CRM, ERP, or enterprise platforms
Exposure to LLMOps and AI observability
Qualifications
Bachelor’s or Master’s in Computer Science, AI, Data Science, or related field
7+ years experience in software engineering or AI development
Experience building production AI applications
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