Description

Job Description:
Design and implement AI-powered automation solutions using Claude, Copilot, and UiPath
Build end-to-end intelligent workflows, combining:
LLM capabilities (reasoning, summarization, extraction)
RPA for system execution
Develop and integrate MCP-based architectures to enable:
Context sharing between tools and AI models
Secure and scalable tool usage by LLMs
Create and manage MCP servers/tools for enterprise integrations
Develop and optimize prompt engineering strategies for structured outputs
Integrate AI solutions with enterprise systems via APIs, MCP, and automation workflows
Implement document processing and data extraction pipelines
Ensure solution quality through:
Deidentification/PII Masking
Validation logic
Exception handling
Human-in-the-loop where required
Optimize for performance, scalability, and cost (tokens / AI units)
Collaborate with business stakeholders to translate requirements into AI solutions
 
Required Skills
Hands-on experience with:
Claude (prompting, API integration)
Microsoft Copilot (Copilot Studio, plugins)
UiPath (Studio, Orchestrator, automation design)
Strong experience with:
Model Context Protocol (MCP)
Building and consuming MCP servers/tools
Strong understanding of:
Generative AI / LLM concepts
Prompt engineering and structured outputs (JSON)
RPA and workflow orchestration
Programming experience in:
Python / .NET / JavaScript
Experience with REST APIs and system integrations
 
Good to Have:
Experience with:
RAG (Retrieval-Augmented Generation)
Vector databases (Pinecone, FAISS, etc.)
Azure OpenAI / AWS Bedrock
Exposure to:
UiPath Document Understanding
AI-driven document processing and OCR
Knowledge of security, governance, and compliance (healthcare/finance preferred)

Preferred Use Case Experience
Document / claims processing
Intelligent email automation
AI-driven decisioning workflows
Tool-augmented AI systems using MCP

Key Skills

Education

Any Graduate