AI Agent Engineer

We are looking for an experienced AI Agent Engineer with strong expertise in building and deploying agentic and LLM‑powered systems. The ideal candidate will have hands‑on experience across AI orchestration frameworks, retrieval systems, and scalable backend architectures. Roles and Responsibilities Design, develop, and deploy agentic AI systems using modern frameworks and orchestration patterns. Build and optimize LLM‑based applications, including multi‑agent workflows and tool‑augmented reasoning systems. Develop and maintain Retrieval‑Augmented Generation (RAG) pipelines for enterprise‑scale applications. Architect scalable backend services and APIs to support AI‑driven products. Collaborate with cross‑functional teams to integrate AI capabilities into production systems. Required Skills & Experience AI / LLM / Agentic Systems Strong hands‑on experience with agentic AI frameworks such as MCP, ADK, LangGraph, and LangChain Deep expertise in LLM integration, orchestration, and prompt/agent design Experience building multi‑agent systems and complex AI workflows Strong understanding of RAG architectures Search, Data & Knowledge Systems Experience with vector databases (Pinecone, FAISS, Weaviate, etc.) Experience with graph databases (Neo4j, Amazon Neptune, etc.) Strong knowledge of semantic search, embeddings, and knowledge graphs Cloud & Infrastructure Strong experience with cloud platforms, preferably GCP (Vertex AI, Cloud Run, GKE) Exposure to Azure or other cloud environments is a plus Understanding of scalable AI deployment patterns Backend & System Design Strong background in API design and development Experience with microservices architecture and distributed systems Proficiency in Python for backend development #J-18808-Ljbffr Veriipro