About this role
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 modern 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 enginesRegex / expression-language conversion experienceAI / LLM Engineering
Prompt engineering / structured (schema-constrained) output generationLLM API integration (Anthropic, OpenAI, Azure OpenAI)RAG or classification pipeline experienceCoding Agent experience via Claude / Github copilotEval-harness / model output scoring experienceIntegration / Ecosystem
MCP (Model Context Protocol) server developmentAzure CLI / Azure AD authentication flowsREST API integration & webhook handlingTesting & Quality
Test automation for workflow/flow validationApplication level testing best practicesNice to Have (General)
SharePoint / M365 admin experience
B.E./B.Tech/M.Sc./MCA
Beware of scams
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All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.