Senior AI Engineer (LangGraph / Multi-Agent / Graph Intelligence) . Eng C1/C2

We’re looking for a Senior AI Engineer who’s passionate about multi-agent orchestration, graph-based intelligence, and next-generation LLM architectures.If you love building systems where agents collaborate, reason, and learn from connected knowledge graphs — this role is for you.What You’ll DoDesign and implement AI agent orchestration systems using frameworks like LangGraph, LangChain, or LlamaIndex.Build Graph RAG and context-aware reasoning pipelines that blend retrieval, logic, and decision-making.Integrate graph databases (Neo4j, TigerGraph, ArangoDB) and GNNs for relationship modeling and semantic reasoning.Develop observability and monitoring pipelines using Phoenix, Weights & Biases, MLflow, and related tools.Deploy scalable, reliable AI ecosystems using Docker, Kubernetes, and CI/CD workflows in AWS, Azure, or GCP environments.What We’re Looking ForStrong experience in Python, PyTorch/TensorFlow, and AI orchestration frameworks.Proven understanding of graph intelligence and multi-agent collaboration.Familiarity with retrieval-augmented generation (RAG / Graph-RAG).Experience with AI observability, MLOps, and model governance.Excellent analytical thinking and fluent English communication.Nice to HaveHands-on experience deploying LangChain / LangGraph systems in production.Knowledge of big data frameworks (Spark, Databricks).Strong foundations in testing, CI/CD, and version control (Git).Interested in building intelligent, interconnected AI systems?We’d love to meet you — apply now or tag someone who should see this opportunity.