Senior Product Software Engineer- AI
Wolters Kluwer · Chennai
- Experience6–10 yrs
- SalaryNot disclosed
- Work modehybrid
- Levelsenior
- Posted15 Sept 2026
About Wolters Kluwer
Wolters Kluwer is hiring in Chennai in technology software. This role looks for around 6+ years of experience.
Skills
- Generative AI
- Agentic Workflows
- Large Language Models
- Retrieval Augmented Generation
- Embeddings
- Vector databases
- C#
- ASP.NET
- .NET Core
- Angular
- React
- JavaScript
- TypeScript
- HTML5
- CSS
- Azure OpenAI
- OpenAI
- Anthropic
- Microsoft Azure
- Microservices
- REST APIs
- CI/CD pipelines
- DevOps
- Prompt engineering
- Cloud-native architectures
The role
A Generative AI Engineer at a technology software company builds production-grade AI applications and agentic workflows using Generative AI, Retrieval Augmented Generation, and Azure. The role also applies LLM platforms and scalable system design to secure, cost-optimized enterprise solutions.
Full job description
Senior Product Software Engineer
Experience: 6.5 to 10 years
Job Summary:
We are seeking a highly skilled Senior Software Developer with strong hands-on experience in Generative AI and Agentic Workflow development. The ideal candidate will have a proven track record of building real-world, production-grade AI solutions using LLMs, multi-agent systems, and AI automation frameworks, with a strong emphasis on security, scalability, and cost optimization. Experience in Tax, Finance, or Banking domains is highly preferred.
Key Responsibilities
Design, develop, and maintain Generative AIbased applications and Agentic Workflows
Build and orchestrate multi-agent systems leveraging Large Language Models (LLMs)
Implement Retrieval Augmented Generation (RAG) pipelines, embeddings, and vector search solutions
Ensure AI security best practices, including data privacy, access control, and prompt safety
Optimize LLM usage and operational costs through token optimization, caching, batching, and model selection strategies
Architect and deliver scalable, cloud-native AI solutions for production environments
Collaborate with product, business, and domain teams to deliver domain-specific AI solutions
Participate in architecture and design reviews, mentor and guide junior engineers
Implement monitoring, logging, and observability for AI systems in production
Required Skills & Qualifications
6.5 - 10 years of total software development experience in the IT industry.
1–2+ years of hands-on experience in Agentic AI / AI Workflow development.
Strong expertise in building enterprise-scale web and GenAI solutions using .NET technologies (C#, ASP.NET, .NET Core) with solid OOP fundamentals.
Hands-on experience developing modern, responsive front-end applications using (Angular/React/Javascript/Typescript)
Proficiency HTML5, CSS, and UI frameworks.
Hands-on experience with Generative AI and LLM platforms such as Azure OpenAI, OpenAI, Anthropic, etc.
Solid understanding of Generative AI fundamentals, including:
Prompt engineering
Retrieval Augmented Generation (RAG)
Embeddings and vector databases
Experience building Agentic Workflows / Agent-based systems (AI orchestration knowledge is a plus)
Experience using AI-assisted developer productivity tools (e.g., GitHub Copilot)
Strong experience with cloud platforms, preferably Microsoft Azure (AWS/GCP acceptable)
Solid understanding of scalable system design (Microservices, REST APIs, Cloud-native architectures)
Proven experience implementing cost-optimized GenAI solutions, including:
Token usage optimization
Model selection and fallback strategies
Caching and batching techniques
Experience with CI/CD pipelines, DevOps practices, and production deployments
Preferred Qualifications
Domain experience in Tax, Finance, or Banking, particularly in compliance-driven systems
Experience delivering enterprise-scale, production-grade AI solutions
Familiarity with governance, compliance, and responsible AI practices