Senior Product Software Engineer (.NET /AL / Large Language Models (LLMs) / RAG)

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 modern AI systems and strong 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 Bachelors degree in Engineering, Computer Science, or equivalent. Must Have : 9+ years of professional software development experience, 3 years of relative experience in building AI productAI / LLM & Agentic Systems Strong understanding of AI/ML concepts with hands-on AI application developmentExperience working with Large Language Models (LLMs) (Azure OpenAI, OpenAI, Claude APIetc.)LLM & RAG Foundations Deep knowledge of:Prompt engineering & optimizationRetrieval-Augmented Generation (RAG)Embeddings and vector databases (Azure AI Search, Pinecone, FAISS, etc.)Tokenization, context handling, hallucination mitigationAgentic AI & MCP Expertise Strong understanding of agent-based architectures (single-agent & multi-agent systems)Experience designing and building autonomous or semi-autonomous AI agentsAgent Frameworks Hands-on experience with frameworks such as:Semantic Kernel (preferred for .NET ecosystem)LangChain / LangGraphLlamaIndex / 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 automationBuilding or integrating MCP-compatible servers/toolsUnderstanding of:Memory models (short-term, long-term, vector memory)Human-in-the-loop systemsAI guardrails, safety, and observabilityCore Engineering Skills Strong knowledge of multi-threading, scalability, performance, and securityExperience with relational databases (SQL Server, PostgreSQL)Experience with cloud platforms (Azure preferred)Knowledge of Azure AI ecosystem (Azure OpenAI, Cognitive Services, AI Search)Experience working in Agile/Scrum environmentsStrong debugging, problem-solving, and analytical skillsExperience with Git and version control systemsExperience with Python for AI/ML pipelinesExposure to Graph-based systems / Knowledge Graphs (Neo4j, Cosmos DB, etc.)Experience with model evaluation, monitoring, and prompt/agent testing frameworkssemantic searchMachine Learning: Recommendation engines, demand forecasting, anomaly detection, clustering, predictive modelling, deep learning, graph-based scoring & community analysisUse of Copilot tools like Codex, Claude, GHCP etc. for software development.Have developed software using SDD with help of SpecKit, OpenSpec etc.Nice to Have Experience with fine-tuning or custom LLM pipelinesExperience with multi-agent orchestration frameworks (CrewAI, advanced AutoGen use cases)Frontend experience with ReactJS, JavaScript, HTML5, CSS3Knowledge of CI/CD and MLOps practicesExposure to multi-modal AI systemsFamiliarity with MCP ecosystems, tool registries, or emerging AI interoperability standardsExperience in C#, .NET Core/.NET FrameworkExperience with RESTful APIs and distributed systemsEssential Duties and Responsibilities Design and develop AI-first and agentic applications using LLMs and modern frameworksBuild and optimize RAG pipelines, embeddings, and semantic search systemsDesign and implement autonomous agents and multi-agent workflowsDevelop and integrate MCP-based tools and services to enable AI interaction with enterprise systemsIntegrate AI capabilities into enterprise applications and backend systemsCollaborate with architects to build scalable AI-enabled cloud architecturesEnsure performance, reliability, safety, and observability of AI systemsGuide a .