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Hash Agile Technologies Linkedin · Posted 2mo ago

Senior AI/ML Engineer

Coimbatore, Tamil Nadu, India

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Indexed description

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

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