Senior AI/ML Engineer

Hash Agile Technologies is looking for a highly skilled AI/ML Engineer with strong expertise in Generative AI, LLMs, Agentic AI frameworks, and scalable Data Engineering systems to join our team. Location: Coimbatore Experience: 7+ Years Employment Type: Full-time 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: Strong 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 Hash Agile Technologies is looking for a highly skilled AI/ML Engineer with strong expertise in Generative AI, LLMs, Agentic AI frameworks, and scalable Data Engineering systems to join our team. Location: Coimbatore Experience: 7+ Years Employment Type: Full-time 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: Strong 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