Are you looking for an exciting opportunity in artificial intelligence, large language models (LLMs), and software development? The Hitachi AI Developer position in Chennai, India, could be worth exploring if you have a background in programming, AI engineering, and application integration.
Hitachi Solutions India Pvt. Ltd. is seeking an AI Developer to work on AI-powered components, LLM integrations, workflow conversion, automated testing, and enterprise technology solutions. The role combines traditional software engineering with modern AI development, making it relevant to candidates who want to work with technologies such as Python, Node.js, TypeScript, OpenAI, Azure OpenAI, and retrieval-augmented generation (RAG).
Unlike a general software development position, this opportunity focuses on building solutions that can understand existing workflow definitions and convert them into equivalent Microsoft Power Automate logic. Candidates with experience in parsing XML and JSON, integrating APIs, developing AI agents, and evaluating model outputs may find this role particularly relevant.
In this article, we cover the Hitachi AI Developer job details, educational qualifications, technical skills, responsibilities, work location, application guidance, and interview preparation topics.
- 1 Hitachi AI Developer Recruitment 2026 – Job Overview
- 2 About Hitachi Solutions India Pvt. Ltd.
- 3 What Is the Hitachi AI Developer Job Role?
- 4 Core Programming and Parsing Skills
- 5 AI and LLM Engineering Skills
- 6 Integration and Microsoft Ecosystem Skills
- 7 Is the Hitachi AI Developer Job Suitable for Freshers?
- 8 Why Consider an AI Developer Career at Hitachi Solutions?
- 9 Salary for Hitachi AI Developer Recruitment 2026
- 10 Final Words
Hitachi AI Developer Recruitment 2026 – Job Overview
Here are the key details available in the supplied job description.
| Particulars | Details |
|---|---|
| Company Name | Hitachi Solutions India Pvt. Ltd. |
| Job Role | AI Developer |
| Job Category | Artificial Intelligence / Software Development |
| Job Location | Chennai, Tamil Nadu, India |
| Work Mode | Hybrid |
| Employment Type | Full-time |
| Educational Qualification | B.E./B.Tech/M.Sc./MCA |
| Programming Languages | Node.js, TypeScript, or Python |
| AI Technologies | LLMs, Prompt Engineering, RAG, Classification |
| Integration Technologies | REST APIs, Webhooks, MCP, Azure CLI, Azure AD |
| Workflow Technologies | Nintex Workflow, Microsoft Power Automate |
| Salary | Not specified in the supplied job description |
| Experience Required | Not specified in the supplied job description |
| Application Deadline | Not specified in the supplied job description |
Note: The supplied description does not confirm whether this is a fresher-specific position. Candidates should check the official job listing for experience requirements, salary details, and the application deadline before applying.
About Hitachi Solutions India Pvt. Ltd.
Hitachi Solutions is a global IT solutions provider headquartered in Tokyo, Japan. It is part of the wider Hitachi Group and delivers technology consulting, systems integration, implementation, operation, and maintenance services to organisations across different industries.
The company works on business and IT solutions designed to help customers improve their operations and use technology effectively. Its services span the IT lifecycle, from planning and implementation to ongoing support.
Hitachi Solutions also focuses on creating solutions that support digital transformation and innovation. Its work across multiple industries gives technology professionals opportunities to contribute to different types of business and technical challenges.
For candidates interested in the Hitachi AI Developer position, the role offers an opportunity to explore how artificial intelligence can be combined with enterprise software, workflow automation, cloud services, and API-based integrations.
What Is the Hitachi AI Developer Job Role?
The AI Developer position focuses on creating AI-powered components and a workflow conversion engine. The main objective described in the job posting is to read existing Nintex workflow definitions and generate equivalent Microsoft Power Automate flow logic.
Nintex workflows can contain structured definitions, actions, conditions, and expressions. Converting these workflows requires more than simply translating one file format into another. The solution must interpret the original workflow, map its actions to appropriate alternatives, and validate the generated output.
The developer will work with large language models, structured prompts, APIs, parsing engines, and automated evaluation tools to support this process.
The Hitachi AI Developer role therefore brings together several areas of technology:
- Artificial intelligence and large language models.
- Python, Node.js, or TypeScript programming.
- XML and JSON parsing.
- Workflow automation and conversion.
- REST API and webhook integrations.
- Microsoft Azure authentication and services.
- Automated testing and model evaluation.
This position may be especially relevant to candidates who enjoy solving complex software problems and building practical AI applications rather than working exclusively on theoretical machine learning.
The degree requirement is explicitly stated, but the job description does not provide a minimum percentage, graduation year, or experience range. Applicants should consult the official vacancy for any additional eligibility conditions.
Candidates do not necessarily need equal proficiency in every technology listed. However, the job description highlights AI integration, workflow parsing, API connectivity, and testing as important areas of the role.
Core Programming and Parsing Skills
A major part of this position involves interpreting structured workflow definitions and transforming them into another format.
Python, Node.js, and TypeScript
Candidates should be comfortable building software components using Python or the Node.js/TypeScript ecosystem, depending on the application’s existing stack.
Important concepts include functions, data structures, error handling, asynchronous operations where applicable, modular design, and maintainable code.
XML and JSON Parsing
Because Nintex workflow definitions can be XML-based, understanding structured data parsing is particularly relevant.
Candidates should know how to extract elements, inspect nested structures, handle attributes, identify conditions, and validate input data.
Abstract Syntax Trees and Rule Engines
Experience with parsers, abstract syntax trees (ASTs), or rule engines can be useful when converting workflow logic. These approaches help represent the original structure before translating it into a new format.
Regular Expressions and Expression Conversion
Some workflow conditions or expressions may need to be interpreted and mapped to equivalent logic. Familiarity with regular expressions and expression-language conversion can help with supported conversion cases.
AI and LLM Engineering Skills
The Hitachi AI Developer opportunity specifically highlights several areas of applied AI engineering.
Prompt Engineering and Structured Output
Prompt engineering involves designing instructions that help an LLM produce useful, consistent results. Schema-constrained output adds another layer by requiring the model to return data in a defined structure.
This can make AI-generated workflow mappings easier to parse and validate.
LLM API Integration
The role mentions Anthropic, OpenAI, and Azure OpenAI. Candidates should understand how to connect applications to model APIs, handle responses and errors, and manage credentials securely.
Retrieval-Augmented Generation
RAG combines information retrieval with LLM generation. In a workflow conversion application, retrieval can help identify relevant documentation, action mappings, or examples that support a conversion decision.
AI Coding Assistants
Experience with coding agents or assistants such as Claude and GitHub Copilot is listed among the desired AI engineering skills. Candidates should understand how to use these tools responsibly and verify generated code rather than relying on it without testing.
Evaluation Harnesses
Evaluation harnesses provide a repeatable way to assess model outputs against expected results or defined quality criteria. This is particularly important when AI output is used to generate application logic.
Integration and Microsoft Ecosystem Skills
The role also involves connecting the conversion engine to surrounding services.
REST APIs and Webhooks
REST APIs allow software systems to exchange information through defined endpoints. Webhooks support event-driven communication, allowing one system to notify another when a particular event occurs.
MCP Server Development
MCP stands for Model Context Protocol. MCP servers can expose tools and resources to compatible AI applications through a defined protocol.
Experience with MCP server development may be useful when building AI agents that need access to external systems or specific software capabilities.
Azure CLI and Azure AD
The job description mentions Azure CLI and Azure AD authentication flows. Candidates should understand the basics of authenticating applications, managing access, and interacting with relevant Microsoft Azure services.
SharePoint and Microsoft 365
SharePoint or Microsoft 365 administration experience is listed as an additional advantage rather than a mandatory requirement in the supplied description.
Is the Hitachi AI Developer Job Suitable for Freshers?
The Hitachi AI Developer position may interest recent graduates with the required educational background and relevant technical skills. However, the supplied job description does not explicitly identify the role as a fresher vacancy or specify the number of years of experience required.
Candidates without professional experience can strengthen their profiles by building practical projects that demonstrate the technologies mentioned in the posting.
Useful project ideas include:
- Creating a Python application that parses XML and JSON files.
- Building a small tool that converts structured rules into another defined format.
- Developing a simple RAG application using a collection of technical documents.
- Integrating an LLM API into an application with schema-constrained output.
- Writing automated tests to validate generated JSON or workflow logic.
- Building a REST API that communicates with an external service.
These projects can help demonstrate practical knowledge, but they do not guarantee eligibility or selection. Applicants should confirm the required experience level through the official job listing.
Why Consider an AI Developer Career at Hitachi Solutions?
AI engineering is increasingly connected with software development, enterprise applications, workflow automation, and cloud-based services. This role brings several of these areas together.
Potential career benefits include:
- Practical AI development: Work with LLMs, structured prompts, and AI-powered application components.
- Software engineering experience: Build and maintain parsing and conversion engines.
- Enterprise integration: Gain exposure to APIs, authentication, and Microsoft technologies.
- Quality engineering: Learn how to test and evaluate AI-generated outputs.
- Problem-solving opportunities: Work on converting legacy workflow logic into modern equivalents.
The actual projects, training, benefits, and career progression will depend on the team and the employer’s policies.
Salary for Hitachi AI Developer Recruitment 2026
The supplied job description does not mention a salary range, annual package, or other specific compensation figures for the AI Developer position in Chennai.
Candidates should therefore avoid relying on unverified salary estimates presented by third-party websites. For accurate information about compensation, bonuses, benefits, and other employment terms, check the official vacancy or ask the recruitment team.
Hitachi Solutions states in its company description that it offers competitive compensation and benefits, performance reviews, performance bonuses, and regular training. However, the specific package applicable to this position has not been provided.
Final Words
The Hitachi AI Developer opportunity in Chennai is relevant to professionals interested in combining AI engineering with enterprise software development. Its main focus areas include LLM integrations, prompt engineering, XML/JSON parsing, workflow conversion, REST APIs, Microsoft Azure integrations, and automated evaluation.
Candidates who enjoy working with Python or TypeScript, building practical AI applications, and solving complex software problems may find this role worth exploring.
Before applying, check the official job listing for the latest eligibility criteria, experience requirements, compensation, and application deadline. Prepare a resume that demonstrates relevant technical knowledge through genuine skills and practical projects.
