AI Prompt Engineer

• Design and develop AI agents using Azure OpenAI services and large language models (Nice to have)
• Create, test, and refine prompts for optimal AI model performance and accuracy
• Implement generative AI solutions with Azure OpenAI Service
• Apply prompt engineering techniques to enhance model outputs and reduce hallucinations
• Develop conversational AI interfaces and intelligent automation workflows

RPA Implementation & Management:

• Design, develop, and implement automated workflows using Microsoft Power Automate
• Create both attended and unattended robotic process automation solutions
• Develop desktop flows and cloud flows for comprehensive automation coverage
• Integrate RPA solutions with existing business applications and systems
• Troubleshoot and maintain automation solutions for optimal performance

System Integration & Development:

• Integrate AI agents with APIs, databases, and enterprise systems
• Develop automation solutions that work across Windows and Linux environments
• Create and maintain documentation for all automation processes and AI implementations
• Collaborate with business stakeholders to identify automation opportunities

Required Technical Skills:

Core Programming & Development:

• Programming Languages: Python, JavaScript, C#, or Java
• Microsoft .NET Framework expertise, particularly Visual Basic .NET
• SQL for database management and data manipulation
• HTML/CSS for web-based automation and interface development

AI & Machine Learning:

• Azure OpenAI platform experience with GPT models and embeddings
• Natural Language Processing (NLP) using frameworks like NLTK, SpaCy, or Hugging Face Transformers
• Prompt engineering techniques and best practices
• Machine learning concepts and model implementation
• Computer vision for image recognition and processing tasks

Microsoft Power Platform:

• Power Automate (both desktop and cloud flows)
• Power Automate Desktop for RPA development
• Power Apps and Dataverse integration
• AI Builder for incorporating AI capabilities into workflows

Azure Cloud Services:

• Azure OpenAI Service deployment and management
• Azure Functions for serverless computing
• Azure Logic Apps for workflow automation
• • Azure Active Directory for authentication and security
• Azure Resource Manager (ARM) templates and deployment

Integration & API Skills:

• RESTful API design and integration
• SOAP services integration
• JSON data handling and manipulation
• API authentication methods (OAuth, API keys)
• Webhook implementation and management

Data & Analytics:

• Data manipulation using tools like Pandas and NumPy
• Excel automation and data analysis
• Data visualization with tools like Matplotlib
• Database management and SQL querying
• Statistical analysis and data modeling

Required Business & Technical Skills

Process Analysis & Documentation:

• Business process mapping and analysis
• Workflow design and optimization
• Process documentation and technical writing
• Process mining and improvement methodologies

System Architecture & Design:

• Solution architecture design and implementation
• System integration planning and execution
• Scalability and performance optimization
• Security best practices and implementation

Project Management:

• Agile/Scrum methodologies
• Version control with Git and collaborative development
• CI/CD pipeline understanding and implementation
• Testing and quality assurance practices
• Platform-Specific Requirements

Windows Environment:

• Windows Server administration and automation
• PowerShell scripting and automation
• Windows Task Scheduler and service management
• Remote Desktop and unattended automation setup

Linux Environment:

• Linux command line proficiency
• Shell scripting (Bash/Shell)
• Linux system administration fundamentals
• Cross-platform automation tools and techniques