🛠️ About the Project

We are working with a major client in the energy sector on an exciting portfolio of AI transformation initiatives. As part of our growing AI practice, we're seeking an experienced and resourceful freelance developer to design and build autonomous AI agents using Microsoft Copilot Studio and the Microsoft Copilot ecosystem.
This is an opportunity to work on multiple AI projects within a dynamic, innovation-driven environment in the energy industry. These agents will automate complex business processes, including document analysis, technical specification extraction, and tender response preparation.

📝 Contract: Freelance contract, 2 to 6 months  

📍 Location: Remote work, with occasional short trips if needed

🌇 Working language: French and English 








⚙️ Mission Objectives

The AI agents you'll develop will be capable of:

• Document Intelligence: Retrieving and analyzing technical documentation to extract relevant specifications and standards against requirement specifications
  
• Equipment Model Retrieval: Identifying and selecting appropriate equipment models to respond to tender opportunities
  
• Automated Response Generation: Supporting tender response processes with intelligent data gathering and analysis
  
• Custom Workflow Automation: Performing various autonomous tasks across our Microsoft ecosystem

Required Technical Stack
Core Microsoft Technologies

• Microsoft Copilot Studio (primary development platform)
  
• Microsoft Copilot (M365 Copilot integration)
  
• Power Platform
  
• Power Apps
  
• Power Automate (for workflow orchestration)
  
• Power Query (data transformation)
  
• Dataverse (data storage and management)

• Microsoft SharePoint / OneDrive (document management)
  
• Microsoft 365 Ecosystem (Teams, Outlook, etc.)

AI & Development Technologies

• Azure AI Services
  
• Azure OpenAI Service (GPT-4, embedding models)
  
• Azure AI Search (formerly Cognitive Search)
  
• Azure Document Intelligence (formerly Form Recognizer)
  
• Azure Cognitive Services

• Azure AI Studio (AI orchestration and testing)
  
• Semantic Kernel or LangChain (for agent orchestration)
  
• RAG (Retrieval-Augmented Generation) implementation
  
• Vector databases (Azure AI Search, Azure Cosmos DB)
  
• Embedding strategies
  
• Chunking and indexing pipelines

Integration & Development

• Microsoft Graph API (M365 data access)
  
• Power Fx (low-code formulas)
  
• Custom Connectors (API integrations)
  
• Azure Functions (custom backend logic when needed)
  
• Azure Logic Apps (advanced workflows)
  
• TypeScript/JavaScript or Python (for custom development)
  
• REST APIs and webhooks
  

Data & Security

• Microsoft Entra ID (Azure AD - authentication)
  
• Microsoft Purview (data governance, if applicable)
  
• Azure Key Vault (secrets management)
  
• Data Loss Prevention (DLP) policies

👋 Required Skills & Experience

Essential

• Proven experience developing AI agents in Microsoft Copilot Studio
  
• Strong understanding of Microsoft Copilot capabilities and extensibility
  
• Expertise in Power Platform (Power Apps, Power Automate, Dataverse)
  
• Experience with Azure AI Services, particularly Azure OpenAI
  
• Deep knowledge of RAG architectures and implementation
  
• Proficiency with Microsoft Graph API and M365 integrations
  
• Experience with document processing and information extraction
  
• Ability to design conversational AI workflows
  
• Strong understanding of prompt engineering and LLM optimization

Critical Soft Skills

• Problem-solving mindset: Resourceful and autonomous, able to find creative solutions to complex technical challenges
  
• Excellent communication skills: Ability to explain technical concepts clearly to both technical and non-technical stakeholders
  
• Strong interpersonal skills: Comfortable collaborating with diverse teams across the organization
  
• Proactive attitude: Takes initiative and anticipates project needs
  
• Adaptability: Thrives in a fast-paced environment with multiple concurrent AI projects
  
• Client-facing experience: Professional demeanor when working directly with energy sector stakeholders

Highly Desirable

• Experience in enterprise AI deployments within large organizations, particularly in the energy sector
  
• Knowledge of tender/RFP response processes in regulated industries
  
• Familiarity with technical specification extraction from documentation
  
• Experience with vector databases and semantic search
  
• Background in custom connector development
  
• Understanding of AI governance and compliance requirements in the energy industry
  
• Experience with Azure AI Studio and model fine-tuning
  
• Knowledge of SharePoint content management and search
  
• Ability to work on multiple AI initiatives simultaneously

🤝 How to Apply
Please submit :

• Your CV/resume highlighting relevant Microsoft AI and Copilot Studio experience
  
• Portfolio or case studies of similar AI agent projects
  
• Brief cover letter explaining your approach to this project
  
• Your availability and daily/hourly rate
  
• References from previous enterprise AI implementations

We look forward to collaborating with a talented developer who can help us leverage the power of Microsoft AI to transform our business processes.