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 Development·Design,develop, and deploy production-grade GenAI solutions using advanced LLMs(OpenAI APIs such as GPT- 4.1, GPT-4o, etc.)·Build agenticAI workflows using frameworks such as LangChain, LangGraph, and Haystack,including:oMulti-agentorchestration (planner, retriever, evaluator, executor agents)oTool-calling,function execution, and system-to-system automationoMemorymanagement (short-term, long-term, and session-based)·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.Enterprise Integration &Cloud; Engineering·Developand 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 backends 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& LLMOps·Apply MLOps/ LLMOps best practices across the lifecycle:oModel/versionmanagement and prompt versioningoCI/CDpipelines for GenAI applicationsoAutomatedtesting (prompt, retrieval, and regression testing)oMonitoring,logging, and observability for LLM outputs·Implement guardrails for safety, hallucination control, data privacy, and responsible AI.·Ensure enterprise-gradegovernance, including access control, auditability, and compliance withinternal policies.Performance Optimization& Continuous Improvement·Analyzechatbot and agent performance using quantitative and qualitative metrics(accuracy, latency, adoption, task completion).·Optimizeprompts, retrieval strategies, agent flows, and system performance based onreal usage data.·Drivecontinuous enhancement of user experience through experimentation and feedbackloops.Requirements·Strongunderstanding of LLMs, transformers, embeddings, prompt engineering, andevaluation techniques.·Experiencebuilding end-to-endGenAI/Agentic AI products, including backend services and frontendweb apps.·Hands-onexperience with LangChain, LangGraph, n8n, Co-pilot for buildingmodular, agent-based systems.·Practicalexperience designing multi-agent architectures and orchestratingreasoning and action workflows.·Strongexperience with Vector Databases and Graph Databases (Azure AI Search,Neo4j, Databricks Vector DB) for hybrid, semantic and relationship-drivensearch.·Provenexperience implementing RAG pipelines with structured and unstructuredenterprise data.·Proficiencyin Python, SQL, Spark, and familiarity with additional languages (e.g.,JavaScript).·Hands-onexperience with PyTorch and TensorFlow.·Experienceworking with high-performance, large-scale ML systems in productionenvironments·Ability tosolve complex problems in language understanding, reasoning, and GenAI systemdesign·Experiencedeploying GenAI solutions on Azure, including:oAzure DataFactory (ADF)oDatabricksoAzure AISearchoDatabricksGenieoAIDocument IntelligenceoAppServices, Azure Functions, Bot FrameworkoAzureCache for Redis

📌 AI Engineer (India)
🏢 Techcarrot Fz
📍 India