Kodeva LLC
Claude Engineer with Healthcare
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Claude Engineer with healthcare experience, focusing on AI automation solutions. Contract length is unspecified, with a pay rate of "unknown." Key skills include Claude, Copilot, UiPath, and programming in Python/.NET/JavaScript. Hybrid location: Phoenix, AZ.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Automation #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Compliance #JSON (JavaScript Object Notation) #Programming #Azure #REST (Representational State Transfer) #.Net #Databases #JavaScript #API (Application Programming Interface) #Data Extraction #REST API #Security #Scala #Python #AWS (Amazon Web Services)
Role description
Job Title: Claude Engineer
Location: Onsite : Phoenix AZ/ Remote
Note: need Claude Engineer with healthcare, copilot and uipath experience
Key Responsibilities
• 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
Job Title: Claude Engineer
Location: Onsite : Phoenix AZ/ Remote
Note: need Claude Engineer with healthcare, copilot and uipath experience
Key Responsibilities
• 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
