AI Software Engineer
Sign up free to see how well your resume matches this role.
What you'll do
- 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 3–8 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 (Node.js/TypeScript or Python) that reads XML/JSON-based Nintex workflow definitions and generates equivalent Power Automate flow logic.
What they're looking for
- B.E/B.Tech/M.Sc. Computers/MCA
Nice to have
- SharePoint / M365 admin experience
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Company Description
About Hitachi Solutions India Pvt Ltd:
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.
- We recognize our profitability and project success comes from our team—great people doing great things. As such, we pursue profitable growth and expanded opportunities for our team.
- We offer challenging and diverse work across multiple industries and reward creativity and entrepreneurial innovation.
- We respect, encourage, and support each individual needs to continually learn and grow personally and professionally. We are committed to fostering our people.
- We listen. Every employee has something important to say that can contribute to enriching our environment.
- We compensate fairly. And while employees might come for the paycheck, they stay for the people. Our people are the reason we are exceptional. This is something we never forget.
Job Description
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 3–8 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 (Node.js/TypeScript or Python) that reads XML/JSON-based Nintex workflow definitions and generates equivalent Power Automate flow logic.
AI Developing Skill
Skills:
Core Programming & Parsing - Node.js / TypeScript or Python (framework matching the Agent's 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/B.Tech/M.Sc. Computers/MCA
Additional Information
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.
Company
Company facts come from this company's own listings. We only show what the postings themselves carry.