AI Software Engineer

AI Software Engineer: 

Own the end-to-end architecture of the AI-assisted migration platform agent/skill/harness design AI-in-the-loop bounding of LLM output and Azure cloud architecture (App Services Functions Key Vault Azure AD).

Drive AI/ML strategy: build-vs-buy and model selection calls fine-tuning vs. prompting and cost/latency trade-offs and definition of fidelity scoring and gap-analysis evaluation metrics.

Lead delivery and stakeholder management scope feasibility studies vs. production builds define data requirements with customer IT teams and triage client edge-case escalations into a prioritised backlog.

Lead and mentor a 38 person AI/automation engineering team across classical and prompt-engineering disciplines while owning migration risk rollback strategy and security/credential review.

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 ( or Python) that reads XML/JSON-based Nintex workflow definitions and generates equivalent Power Automate flow logic.

AI Developing Skill

Skills: 

Core Programming & Parsing - / TypeScript or Python (framework matching the Agents stack)

Core Programming & Parsing - XML/JSON parsing experience (Nintex NWF is XML-based)

Core Programming & Parsing - Experience building parsers ASTs or rule engines

Core Programming & Parsing - Regex / expression-language conversion experience

AI / LLM Engineering - Prompt engineering / structured (schema-constrained) output generation

AI / LLM Engineering - LLM API integration (Anthropic OpenAI Azure OpenAI)

AI / LLM Engineering - RAG or classification pipeline experience

AI / LLM Engineering - Coding Agent experience via Claude / Github copilot

AI / LLM Engineering - Eval-harness / model output scoring experience

Integration / Ecosystem - MCP (Model Context Protocol) server development

Integration / Ecosystem - Azure CLI / Azure AD authentication flows

Integration / Ecosystem - REST API integration & webhook handling

Testing & Quality - Test automation for workflow/flow validation

Testing & Quality - Application level testing best practices

Nice to Have (General) - SharePoint / M365 admin experience

Qualifications :

B.E/ Computers/MCA

Additional Information :

Beware of scams

Our recruiting team may communicate with candidates via our @ domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.  

All offers will originate from our @ 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.

Remote Work :

No

Employment Type :

Full-time