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AI Prompt Engineer and RPA Implementation Specialist at Remote, Remote, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2887292&uid=a29ed893cd6644aa8db75b7a26796287

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Job Description
AI Prompt Engineer and RPA Implementation Specialist
Job Type: Onsite role
Location: Long Island City, NY 11101
Duration: 12 Months, extension possible based on needs and performance

Interviews:
Two rounds (One in-person).
LinkedIN
must-have skills: AI and RPA
JD:

AI Prompt Engineering & Agent Development:
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 MS 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
MS .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
Power scripting and automation
Windows Task Scheduler and service management
Remote Desktop and unattended automation setup
Linux Environment:
Linux command line proficiency
scripting (Bash/)
Linux system administration fundamentals
Cross-platform automation tools and techniques
Soft Skills & Qualifications
Communication & Collaboration:
Excellent written and verbal communication skills
Stakeholder management and business requirement gathering
Training and mentoring abilities for user adoption
Cross-functional collaboration with technical and business teams
Problem-Solving & Analytical:
Critical thinking and problem-solving capabilities
Analytical mindset for process improvement
Troubleshooting and debugging skills
Adaptability to new technologies and methodologies

Qualifications and Requirements:
Bachelors degree in Computer Science, Engineering, Information Technology, or related field
2-5 years of experience in automation, RPA, or AI development
Experience with business processes and workflow optimization
Familiarity with Microsoft Office Suite and enterprise applications

Preferred Qualifications
Certifications:
Microsoft Certified: Power Automate RPA Developer Associate
Azure OpenAI or Azure AI certifications
UiPath, Blue Prism, or Automation Anywhere certifications
Microsoft Azure fundamentals or associate-level certifications

Additional Experience:
Citrix or VDI environment automation experience
SAP or ERP system integration
Machine learning model deployment and monitoring
Document processing and OCR technologies

Keywords: csharp continuous integration continuous deployment artificial intelligence microsoft mississippi New York
AI Prompt Engineer and RPA Implementation Specialist
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2887292&uid=a29ed893cd6644aa8db75b7a26796287
[email protected]
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12:50 AM 04-Nov-25


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