Develop AI/LLM components — prompt engineering with schema-constrained output, LLM API integration (Anthropic/OpenAI/Azure OpenAI), and RAG or classification pipelines that map legacy actions to contemporary equivalents.
Integrate the solution with the surrounding ecosystem via REST APIs, webhooks, Azure CLI/Azure AD authentication flows, and MCP server endpoints.
Own quality through automated workflow validation tests and eval harnesses that score model output fidelity, and document unsupported or manually reviewed conversion cases.
Build and maintain the parsing/conversion engine (Node.js/TypeScript or Python) that reads XML/JSON-based Nintex workflow definitions and generates equivalent Power Automate flow logic.
AI Developing Skill:
Core Programming & Parsing
Node.js / TypeScript or Python (framework matching the Agent's stack)
XML/JSON parsing experience (Nintex NWF is XML-based)
Experience building parsers, ASTs, or rule engines
Regex / expression-language conversion experience
AI / LLM Engineering
Prompt engineering / structured (schema-constrained) output generation
LLM API integration (Anthropic, OpenAI, Azure OpenAI)
RAG or classification pipeline experience
Coding Agent experience via Claude / Github copilot
Eval-harness / model output scoring experience
Integration / Ecosystem
MCP (Model Context Protocol) server development
Azure CLI / Azure AD authentication flows
REST API integration & webhook handling
Testing & Quality
Test automation for workflow/flow validation
Application level testing best practices
Nice to Have (General)
SharePoint / M365 admin experience
📌 Ai Developer Chennai
🏢 HITACHI SOLUTIONS
📍 Chennai
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