AI Engineer

Durapid Technologies Private Limited; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Durapid Technologies Private Limited in Bengaluru seeks an AI Engineer Expert with 6–10 years of hands-on experience to design and deploy scalable AI/ML solutions using RAG, agentic systems, and LangChain/LangGraph.

You will integrate models with Azure cloud, build vector databases for fast similarity search, and collaborate with product and engineering teams while advancing CI/CD practices and staying updated on AI/NLP trends.

Qualifications

• 6–10 years of AI/ML experience.
• Experience with RAG and Agentic systems.
• Proficient in LangChain/LangGraph and vector databases.
• Strong cloud experience, preferably Azure.

Responsibilities

• Design, develop, and deploy scalable AI/ML models using RAG and agentic systems.
• Integrate AI models with backend services and Azure cloud.
• Design vector database solutions for efficient similarity search.
• Collaborate with product/engineering to translate requirements into technical implementations.
• Optimize prompts, tuning, and evaluation pipelines for LLM apps.
• Build agentic AI systems for autonomous tasks.
• Ensure performance, reliability, and CI/CD integration.
• Stay updated on AI/NLP/MLOps and share knowledge.

Skills

AI

RAG

Agentic

Azure

LangChain

LangGraph

Vector DB

Tools

Pinecone

Weaviate

Milvus

Azure Cognitive Search

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