Core Responsibilities:
Design and develop enterprise-grade AI/ML and Generative AI applications
Build advanced RAG pipelines using LLMs, Vector Databases, and semantic search
Develop Agentic AI systems using LangChain, LangGraph, CrewAI, AutoGen, and multi-agent orchestration frameworks
Implement Agent-to-Agent orchestration and autonomous workflow execution systems
Build scalable AI pipelines integrating structured, semi-structured, and unstructured enterprise data
Design AI-powered automation workflows and intelligent assistants
Develop robust ETL/data pipelines supporting AI applications and analytics platforms
Implement MLOps, LLMOps, and DataOps best practices
Work closely with Product, Engineering, and Business teams to solve complex real-world problems

Required Skills:
Solid expertise in Python, SQL, APIs, and distributed systems
Hands-on experience with:
LLMs and Generative AI
LangChain, LangGraph, CrewAI,



AutoGen
RAG architectures and Vector Databases
AI Agents and Agent-to-Agent orchestration
NLP and semantic search systems
Experience with Pinecone, Weaviate, ChromaDB, FAISS, or similar vector stores
Strong knowledge of Data Engineering concepts including ETL pipelines, Data Warehousing, and Data Modelling
Experience with MLflow, Docker, Kubernetes, CI/CD, and cloud environments (AWS/Azure/GCP)
Strong understanding of scalable AI system architecture and AI application deployment

Preferred:
Experience building enterprise AI copilots and AI automation platforms
Exposure to Graph RAG, Knowledge Graphs, and AI workflow orchestration
Experience mentoring engineering teams and driving technical architecture decisions

📌 Artificial Intelligence Engineer (Coimbatore)
🏢 Hash Agile Technologies
📍 Coimbatore