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

- Robust 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