GenAI Engineer (Conversational AI, RAG & Agentic AI)

Job Description Roles & Responsibilities Design, develop, and deploy sophisticated conversational AI experiences leveraging LLMs, ensuring seamless user interaction and accurate responses. Implement and optimize Retrieval Augmented Generation (RAG) pipelines to enhance LLM knowledge bases with domain-specific information and real-time data. Build and manage AI agents capable of complex task execution, decision-making, and autonomous operation within defined parameters. Fine-tune and adapt pre-trained large language models for specific conversational AI applications, optimizing for performance, relevance, and safety. Desired Candidate Profile Strong foundational AI/ML concepts RAG (Retrieval Augmented Generation) architectures Embeddings & vector search Data/document ingestion strategies Agent & Agentic AI design patterns Orchestrator-based multi-agent systems Agent registry & A2A (Agent-to-Agent) protocol Conversational AI development Journey/goal mapping and intent routing Employment Type Full Time Company Industry RecruitmentPlacement FirmExecutive Search Department / Functional Area Engineering Keywords GenAI EngineerLLM EngineerGenerative AIAgentic AI DeveloperPrompt EngineerConversational AI ArchitectNatural Language ProcessingLangChainLLMMachine LearningAgentic AIAI Solutions EngineerApplied AI ScientistVector Databases Get real-time job updates only on our App