Senior Product Software Engineer

Experience Range: 7 to 10 Years

We are seeking a highly skilled Senior AI / Full Stack Engineer with deep expertise in up-to-date AI systems and solid hands-on experience in full-stack development. This role focuses on building AI-powered and agentic applications, leveraging LLMs, autonomous agents, and intelligent workflows.

You will design and develop systems that incorporate advanced LLM techniques, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and agent-based architectures, enabling intelligent automation and decision-making across applications.

Education

Bachelor’s degree in Engineering, Computer Science, or equivalent.

Must Have :
9+ years of professional software development experience, 3 years of relative experience in building AI product

AI / LLM & Agentic Systems
Strong understanding of AI/ML concepts with hands-on AI application development
Experience working with Large Language Models (LLMs) (Azure OpenAI, OpenAI, Claude APIetc.)

LLM & RAG Foundations
Deep knowledge of:




Prompt engineering & optimization
Retrieval-Augmented Generation (RAG)
Embeddings and vector databases (Azure AI Search, Pinecone, FAISS, etc.)
Tokenization, context handling, hallucination mitigation

Agentic AI & MCP Expertise
Solid understanding of agent-based architectures (single-agent & multi-agent systems)
Experience designing and building autonomous or semi-autonomous AI agents

Agent Frameworks
Hands-on experience with frameworks such as:
Semantic Kernel (preferred for .NET ecosystem)
LangChain / LangGraph
LlamaIndex / AutoGen (or similar)

Agent Capabilities
Experience implementing:
Tool-using agents (function calling, API integrations)
Planning and reasoning workflows (ReAct or similar patterns)
Agent orchestration and workflow automation
Building or integrating MCP-compatible servers/tools
Understanding of:
Memory models (short-term, long-term, vector memory)
Human-in-the-l

📌 Senior Product Software Engineer Pune (India)
🏢 Wolters Kluwer
📍 India