Artificial Intelligence Engineer

Core Responsibilities:Design and develop enterprise-grade AI/ML and Generative AI applicationsBuild advanced RAG pipelines using LLMs, Vector Databases, and semantic searchDevelop Agentic AI systems using LangChain, LangGraph, CrewAI, AutoGen, and multi-agent orchestration frameworksImplement Agent-to-Agent orchestration and autonomous workflow execution systemsBuild scalable AI pipelines integrating structured, semi-structured, and unstructured enterprise dataDesign AI-powered automation workflows and intelligent assistantsDevelop robust ETL/data pipelines supporting AI applications and analytics platformsImplement MLOps, LLMOps, and DataOps best practicesWork closely with Product, Engineering, and Business teams to solve complex real-world problemsRequired Skills:Strong expertise in Python, SQL, APIs, and distributed systemsHands-on experience with:LLMs and Generative AILangChain, LangGraph, CrewAI, AutoGenRAG architectures and Vector DatabasesAI Agents and Agent-to-Agent orchestrationNLP and semantic search systemsExperience with Pinecone, Weaviate, ChromaDB, FAISS, or similar vector storesStrong knowledge of Data Engineering concepts including ETL pipelines, Data Warehousing, and Data ModellingExperience with MLflow, Docker, Kubernetes, CI/CD, and cloud environments (AWS/Azure/GCP)Strong understanding of scalable AI system architecture and AI application deploymentPreferred:Experience building enterprise AI copilots and AI automation platformsExposure to Graph RAG, Knowledge Graphs, and AI workflow orchestrationExperience mentoring engineering teams and driving technical architecture decisions