AI Engineer

Durapid Technologies Private Limited; Maharashtra; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Durapid Technologies Private Limited in Maharashtra is seeking an experienced AI Engineer Expert with 6–10 years of hands-on experience to design, develop, and deploy scalable AI/ML models using RAG, agentic systems, and LangChain/LangGraph on Microsoft Azure. You will integrate models with backend services, design vector databases, optimize prompts, and build autonomous decision-making agents while ensuring reliability, scalability, and effective CI/CD workflows.

Qualifications

• 6–10 years of hands-on AI/ML development experience.
• Experience building RAG and agentic AI systems on cloud platforms.
• Experience with LangChain/LangGraph and vector databases.
• Strong understanding of model deployment, CI/CD, and MLOps.

Responsibilities

• Design, develop, and deploy scalable AI/ML models and solutions leveraging RAG, Agentic systems, and modern LLM frameworks (e.g., LangChain, LangGraph).
• Integrate AI models with backend services and cloud infrastructure (preferably on Microsoft Azure).
• Design and implement vector database solutions (e.g., Pinecone, Weaviate, Milvus, Azure Cognitive Search) for efficient similarity search and retrieval.
• Collaborate with product and engineering teams to define AI use cases and translate business requirements into technical implementations.
• Optimize prompt engineering strategies, fine-tuning, and evaluation pipelines for LLM-based applications.
• Build and maintain agentic AI systems that perform autonomous decision-making and task execution.
• Ensure model performance, reliability, and scalability through rigorous testing, monitoring, and CI/CD integration.
• Stay current with the latest advancements in AI, NLP, and MLOps, and contribute to internal knowledge sharing.

Skills

AI

RAG

Agentic

Azure

LangGraph

LangChain

Vector Database

Job description

Calling all AI Engineer Experts!

Experience: 6–10 Years

Notice Period: Immediate to 15 Days

Desired Expertise: AI | RAG | Agentic | Azure | LangGraph/LangChain | Vector Database

Role Responsibilities

• Design, develop, and deploy scalable AI/ML models and solutions leveraging RAG, Agentic systems, and modern LLM frameworks (e.g., LangChain, LangGraph).
• Integrate AI models with backend services and cloud infrastructure (preferably on Microsoft Azure).
• Design and implement vector database solutions (e.g., Pinecone, Weaviate, Milvus, Azure Cognitive Search) for efficient similarity search and retrieval.
• Collaborate with product and engineering teams to define AI use cases and translate business requirements into technical implementations.
• Optimize prompt engineering strategies, fine-tuning, and evaluation pipelines for LLM-based applications.
• Build and maintain agentic AI systems that perform autonomous decision-making and task execution.
• Ensure model performance, reliability, and scalability through rigorous testing, monitoring, and CI/CD integration.
• Stay current with the latest advancements in AI, NLP, and MLOps, and contribute to internal knowledge sharing.

Skills: vector, rag, database, langchain, azure