Hitachi Solutions AI Developer Recruitment 2026 – Chennai, India
Hitachi Solutions India Pvt. Ltd. is recruiting for the position of AI Developer in Chennai, India. This is a full-time opportunity with a hybrid work arrangement for candidates interested in artificial intelligence, large language models (LLMs), workflow automation, and enterprise software development.
The role focuses on developing AI and LLM components, integrating AI services through APIs, and building a conversion engine that transforms XML/JSON-based Nintex workflow definitions into equivalent Microsoft Power Automate flow logic. Candidates with programming, parsing, prompt engineering, testing, and Azure integration skills may find this role relevant. The official job description does not specify the salary, experience range, eligible graduation batches, or application deadline.
Quick Job Snapshot
| Company | Hitachi Solutions India Pvt. Ltd. |
| Role | AI Developer |
| Qualification | B.E./B.Tech/M.Sc./MCA |
| Experience | Not specified in the provided job description |
| Eligible Batch | Not specified; candidates should check the official application requirements |
| Salary | Not disclosed |
| Job Type | Full-time |
| Work Mode | Hybrid |
| Job Location | Chennai, Tamil Nadu, India |
| Recruitment Website | SmartRecruiters – Hitachi Solutions |
Role Overview
The AI Developer will work on an AI-assisted workflow conversion solution. The main objective is to interpret legacy Nintex workflow definitions and generate corresponding Microsoft Power Automate logic, using a combination of deterministic parsing rules, LLM-based processing, integrations, and automated quality checks.
The role combines software engineering with practical AI development. It involves building reliable parsers and conversion rules, integrating LLM providers such as OpenAI, Anthropic, and Azure OpenAI, and validating generated results through automated tests and evaluation frameworks.
Key Responsibilities
- AI and LLM development: Build AI components using prompt engineering, schema-constrained output, LLM API integration, retrieval-augmented generation (RAG), and classification pipelines.
- Workflow conversion: Develop and maintain a parsing and conversion engine that reads XML/JSON-based Nintex workflow definitions and produces equivalent Power Automate flow logic.
- Programming and parsing: Use Node.js/TypeScript or Python to develop parsers, abstract syntax trees (ASTs), rule engines, and expression-conversion logic.
- API integration: Connect the solution with external systems through REST APIs, webhooks, Azure CLI, Azure AD authentication flows, and MCP server endpoints.
- Testing and evaluation: Build automated workflow validation tests and evaluation harnesses to assess the accuracy and fidelity of model outputs.
- Quality documentation: Record unsupported conversion cases and workflows that require manual review.
- Application integration: Help ensure that the conversion solution works reliably within the surrounding Microsoft and enterprise software ecosystem.
Required Skills and Qualifications
1. Core Programming and Parsing
- Strong programming knowledge in Node.js/TypeScript or Python, depending on the project’s technology stack.
- Experience parsing XML and JSON data.
- Understanding of parsers, abstract syntax trees (ASTs), or rule-engine development.
- Knowledge of regular expressions and expression-language conversion.
2. AI and LLM Engineering
- Prompt engineering and structured, schema-constrained output generation.
- Integration with LLM APIs such as Anthropic, OpenAI, or Azure OpenAI.
- Understanding or experience with RAG and classification pipelines.
- Experience using coding agents such as Claude or GitHub Copilot.
- Knowledge of evaluation harnesses and methods for scoring model output quality.
3. Integration and Ecosystem
- Model Context Protocol (MCP) server development.
- Azure CLI and Azure Active Directory (Azure AD) authentication flows.
- REST API integration and webhook handling.
4. Testing and Quality
- Automated testing for workflow and flow validation.
- Application-level testing practices.
5. Additional Advantage
- SharePoint or Microsoft 365 administration experience is listed as a nice-to-have skill.
Educational Qualification: B.E., B.Tech., M.Sc., or MCA. The supplied job description does not state a specific degree specialization, minimum percentage, graduation year, or work-experience requirement.
Salary Insights
Hitachi Solutions has not disclosed the salary for this AI Developer position in the supplied job description. Compensation may depend on the candidate’s programming experience, AI/LLM engineering skills, integration knowledge, and interview performance. Check the official recruitment process for the compensation package rather than relying on unofficial salary estimates.
Why Consider This AI Developer Role?
- Practical AI engineering: Work with LLMs, prompt engineering, RAG, and model evaluation in an enterprise use case.
- Software engineering experience: Develop parsers, conversion engines, rule-based logic, and API integrations.
- Microsoft ecosystem exposure: Work with Azure authentication, Power Automate, and potentially SharePoint/Microsoft 365 systems.
- Hybrid work arrangement: The role is listed as hybrid in Chennai.
- Cross-disciplinary learning: Build skills across AI development, backend programming, workflow automation, and software testing.
Recommended Learning Resources
Applicants who want to prepare for similar roles can strengthen their programming, API development, and AI fundamentals using these learning resources.
Python Programming
Python Course and Notes – Review programming fundamentals, data structures, functions, and file handling.
Full Stack and API Development
Full Stack Developer Course – Review backend development concepts and how application components communicate.
AI and Data Science
Data Science Complete Course – Strengthen foundational knowledge relevant to data processing and AI concepts.
Interview Preparation
Prepare to explain your programming projects, XML/JSON parsing approach, REST API integrations, and understanding of LLMs. Practise discussing how you would validate generated workflow logic, handle unsupported cases, and prevent unreliable AI output from being accepted without verification.
Technical Interview Questions
Technical Interview Questions and Answers
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How to Apply for Hitachi Solutions AI Developer Recruitment
- Open the official Hitachi Solutions job listing using the button below.
- Review the job requirements and confirm that your qualifications and technical experience match the position.
- Prepare an updated resume highlighting relevant programming projects, XML/JSON parsing, LLM integration, APIs, Azure, and testing experience, where applicable.
- Submit your application through the official SmartRecruiters recruitment page and follow any instructions provided there.
- Monitor your email for recruitment updates and interview communication.
Apply on Hitachi Solutions Careers
Recruitment Safety Notice: According to the company’s notice, recruiting communication may come from an @hitachisolutions.com email address or a SmartRecruiters notification address. Offers should originate from an @hitachisolutions.com email address. Verify suspicious messages independently and never pay recruitment fees.
Frequently Asked Questions (FAQs)
1. What is the qualification required for the Hitachi Solutions AI Developer role?
The listed qualifications are B.E., B.Tech., M.Sc., or MCA. The supplied description does not specify a minimum percentage, degree specialization, or graduation batch.
2. What skills are required for this AI Developer position?
The description highlights Node.js/TypeScript or Python, XML/JSON parsing, prompt engineering, LLM APIs, RAG or classification pipelines, REST APIs, MCP server development, Azure authentication, and automated testing. SharePoint/Microsoft 365 administration is an additional advantage.
3. What are the salary, experience requirement, and work mode?
The position is full-time and hybrid in Chennai. Salary and required years of experience are not specified in the supplied job description, so candidates should check the official listing or confirm with the recruitment team.
If this AI Developer opportunity matches your skills, review the official job listing and apply through the company’s recruitment portal. Share this opening with friends interested in AI engineering and enterprise software development.
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