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Hitachi Solutions, Ltd. in India is developing AI/LLM components, including prompt engineering and API integration, with a focus on converting legacy workflows to modern equivalents.
The role covers building a parsing engine in Node.js/TypeScript or Python, integrating with Nintex outputs, and ensuring high-quality automation and eval harnesses. Strong parsing, RAG, and testing expertise are required.
Hitachi Solutions, Ltd., headquartered in Tokyo, Japan, is a core member of Information & Telecommunication Systems Company of Hitachi Group and a recognized leader in delivering proven business and IT strategies and solutions to companies across many industries. The company provides value-driven services throughout the IT life cycle from systems planning to systems integration, operation and maintenance. Hitachi Solutions delivers products and services of superior value to customers worldwide through key subsidiaries in the United States, Europe, China and India. The flagship company in the Hitachi Group's information and communication system solutions business, Hitachi Solutions also offers solutions for social innovation such as smart cities.
Our Competitive Edge
We work together in a dynamic and rewarding work environment. We have an experienced leadership team, excellent technology and product expertise, and strong relationships with a broad base of customers and partners.
We offer competitive compensation and benefits package, regular performance review, performance bonuses, and regular trainings.
What is it like working here?
We pride ourselves on being industry leaders and providing an enjoyable work environment where our people can grow personally and professionally. Hitachi is the place people can develop skills they’re excited about. The following are our commitments to employees.
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
Integration / Ecosystem
Testing & Quality
Nice to Have (General)
B.E./B.Tech/M.Sc./MCA