Remote: Hybrid

We are seeking a highly skilled andpassionate AI Engineer to design and build enterprise-grade,production-ready conversational and Agentic AI systems that enhance howusers interact with enterprise products, services, insights, andrecommendations.This role goes beyond traditionalchatbots. You will architect and deliver multi-agent, tool-augmented GenAIsolutions capable of reasoning, planning, contextual retrieval, andaction execution across multiple enterprise data sources and platforms. Youwill work on secure, scalable, and governed GenAI systems, aligned withenterprise architecture and compliance standards, ensuring reliability,explainability, observability, and continuous improvement in real-worldproduction environmentsGenAI & Agentic System DevelopmentDesign,develop, and deploy production-grade GenAI solutions using advanced LLMs(OpenAI APIs such as GPT- 4.1, GPT-4o, etc.Implement Retrieval-AugmentedGeneration (RAG) pipelines using structured and unstructured enterprisedata.Design hybridsearch architectures combining Vector DBs and Graph DBs (e.g., Azure AISearch, Neo4j) for semantic, contextual, and relationship-based retrieval.Build AgenticAI workflows using frameworks such as LangChain, LangGraph, and Haystack,including:Multi-agent orchestration (planner, retriever, evaluator, executor agents) Tool-calling, function execution, and system-to-system automationMemory management (short-term, long-term, and session-based)Enterprise Integration &Cloud; EngineeringDevelopand integrate AI-powered chatbots and agents within the Azure ecosystem,ensuring seamless interoperability with existing platforms and services.IntegrateGenAI solutions with enterprise systems using APIs, event-drivenarchitectures, and message brokers.Buildsecure, scalable backend leveraging Azure App Services, Azure Functions,Bot Framework, Azure Cache for Redis, and related services.Workclosely with Cloud, Digital, Data Engineering, and Business teams todrive adoption and real-world impact. Production Readiness,



MLOps& LLMOpsImplement guardrails for safety, hallucination control, data privacy, and responsible AI Ensure enterprise-grade governance, including access control, auditability, and compliance with internal policiesApply MLOps / LLMOps best practices across the lifecycle:Model/version management and prompt versioningCI/CD pipelines for GenAI applicationsAutomated testing (prompt, retrieval, and regression testing)Monitoring, logging, and observability for LLM outputsPerformance Optimization& Continuous ImprovementAnalyze chatbot and agent performance using quantitative and qualitative metrics (accuracy, latency, adoption, task completion). Optimize prompts, retrieval strategies, agent flows, and system performance based on real usage data.Drive continuous enhancement of user experience through experimentation and feedback loops.RequirementsStrong understanding of LLMs, transformers, embedding, prompt engineering, and evaluation techniques. Experience building end-to-end GenAI/Agentic AI products, including backend services and frontend web apps.Hands-on experience with LangChain, LangGraph, n8n, Co-pilot for building modular, agent-based systems.Practical experience designing multi-agent architectures and orchestrating reasoning and action workflows.Robust experience with Vector Databases and Graph Databases (Azure AI Search, Neo4j, Databricks Vector DB) for hybrid, semantic and relationship-driven search.Proven experience implementing RAG pipelines with structured and unstructured enterprise data.Proficiency in Python, SQL, Spark, and familiarity with additional languages (e.g., JavaScript).Hands-on experience with PyTorch and TensorFlow.Experience working with high-performance, large-scale ML systems in production environmentsAbility to solve complex problems in language understanding, reasoning, and GenAI system designExperience deploying GenAI solutions on Azure, including:Azure Data Factory (ADF) DatabricksAzure AI SearchDatabricks GenieAI Document IntelligenceApp Services, Azure Functions, Bot FrameworkAzure Cache for Redis

📌 AI Engineer (India)
🏢 Techcarrot Fz
📍 India