AI Developer
Hitachi Solutions
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This role on the market
6,249 open AI roles across 873 companies are on ApplySarthi right now, most of them in Bengaluru (372), Hyderabad (133), Delhi NCR (59).
- AI Deployment StrategistRematiq Gmbh
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- Forward Deployed Engineer AI InferenceLyceum
- Master Trainer OpenAI (AI & Cloud Partners), LondonNonplusultra
- Research Staff, Voice AI Foundations [UK - Remote]Deepgram
What AI roles keep asking for: LLMs (36%), Python (36%), AWS (24%), Machine learning (23%), Generative AI (22%), Observability (17%), RAG (16%), Azure (14%) — counted across their open postings here.
Azure jobs · LLMs jobs · Node.js jobs · Python jobs
Hitachi Solutions has 56 open roles listed here.
- Service Delivery Manager with French and English
- Lead Azure Integration Developer
- Enterprise Account Executive
- Senior M365 Architect
- Finance & HR Consultant – Lifetime Services (LTS)
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for AI roles keep coming back to LLMs, Python, AWS, Machine learning. Practise those questions before you sit with Hitachi Solutions.
Questions you are likely to be asked
- Why do you want to join Hitachi Solutions?
- What is your experience with Azure? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
Prep Sarthi gives you a free mock interview: an AI interviewer asks you questions like these out loud, from your own CV and this job, and shows your score and your weakest answer.
Practise the AI Developer at Hitachi Solutions interview free →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 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 B.E./B.Tech/M.Sc./MCA Beware of scams Our recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) notification@smartrecruiters.com domain email address regarding your application and interview requests. 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.
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Listed on smartrecruiters · posted 2026-10-09. ApplySarthi collects openings and links to application pages; the role is advertised by Hitachi Solutions, not by us.