Claude Engineer
Onsite : Phoenix AZ/ Remote

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

Claude Engineer

Key skills