Senior Product Software Engineer- AI

Wolters Kluwer; Chennai District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Wolters Kluwer in Chennai seeks a Senior Product Software Engineer with deep hands-on GenAI and agentic workflow expertise to deliver production-grade AI solutions. The role emphasizes secure, scalable, cost-efficient deployments leveraging LLMs and multi-agent architectures.

You will architect AI-powered applications, optimize token usage, and collaborate with product and domain teams to deliver domain-specific AI capabilities in Tax, Finance, or Banking contexts.

Qualifications

• 6.5–10 years of total software development experience in IT.
• 1–2+ years hands-on experience in Agentic AI / AI Workflow development.
• Strong expertise in enterprise-scale web and GenAI solutions using .NET technologies (C#, ASP.NET, .NET Core).
• Frontend experience with Angular/React/Javascript/Typescript.
• Proficiency in HTML5, CSS, and UI frameworks.
• Hands-on with Generative AI and LLM platforms (Azure OpenAI, OpenAI, Anthropic).
• Understanding of Generative AI fundamentals: prompt engineering, RAG, embeddings.
• Experience with Agentic Workflows / AI orchestration.
• Experience using AI-assisted developer tools (GitHub Copilot).
• Cloud platforms, preferably Azure (AWS/GCP acceptable).
• Scalable system design (Microservices, REST APIs, cloud-native).
• Cost-optimized GenAI: token usage, caching, batching, model selection.
• CI/CD, DevOps, production deployments.
• Domain experience in Tax/Finance/Banking is a plus.

Responsibilities

• Design, develop, and maintain Generative AI-based applications and agentic workflows.
• Build and orchestrate multi-agent systems using LLMs.
• Implement Retrieval Augmented Generation pipelines, embeddings, and vector search.
• Ensure AI security best practices including data privacy and prompt safety.
• Optimize LLM usage and costs via token optimization, caching, batching, and model selection.
• Architect and deliver scalable, cloud-native AI solutions for production.
• Collaborate with product and domain teams to deliver domain-specific AI solutions.
• Participate in architecture reviews; mentor junior engineers.
• Implement monitoring, logging, and observability for AI systems in production.

Skills

Generative AI

Agentic AI

C#/.NET

ASP.NET

Angular

React

JavaScript

TypeScript

HTML5

CSS

LLMs

RAG

Vector DBs

Azure

Microservices

REST APIs

Copilot

GitHub Copilot

Tools

Azure OpenAI

OpenAI

Anthropic

GitHub Copilot

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