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Job Description
Structured overview of role & requirementsAbout This Role
Develop AI/LLM components including prompt engineering with schema-constrained output and LLM API integration (Anthropic/OpenAI/Azure OpenAI).
Build and maintain parsing/conversion engine (Node.js/TypeScript or Python) to transform XML/JSON-based Nintex workflows into Power Automate flows.
Own quality assurance via automated workflow validation tests and evaluation harnesses to score model output fidelity, and document manual/unsupported cases.
Minimum Requirements
Proficient in Node.js/TypeScript or Python with experience in XML/JSON parsing and building parsers or rule engines.
Experience with AI/LLM engineering including prompt engineering, schema-constrained output, and LLM API integrations (Anthropic, OpenAI, Azure OpenAI).
Familiarity with REST API integration, webhook handling, Azure CLI/Azure AD authentication flows.
Educational qualification: B.E./B.Tech/M.Sc./MCA. Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced AI developer comfortable with complex integration ecosystems involving Azure and REST APIs.
Skilled in developing and testing AI-powered workflow conversion engines with a focus on automation and output fidelity.
Strong background in prompt engineering, LLM API usage, and automated validation/testing frameworks related to AI models.