AI Engineer (exp 3-8yrs)

Role Overview

We are looking for an experienced Applied AI Engineer with 3+ years of hands-on experience in designing, developing, and deploying enterprise-grade AI/ML solutions in cloud environments. The ideal candidate should have strong expertise in Python, Machine Learning, Generative AI, LLMs, RAG, NLP, and cloud AI platforms.

Responsibilities

• Design, develop, and deploy enterprise AI/ML solutions for real-world business use cases.
• Build and integrate Generative AI and LLM-based applications using RAG, semantic search, and NLP techniques.
• Develop AI-powered solutions for summarization, classification, recommendations, and decision support.
• Develop and optimize machine learning models using Python, PyTorch, TensorFlow, or Scikit-Learn.
• Work with LangChain and other LLM application frameworks to build AI-powered applications.
• Develop document intelligence solutions including document processing, information extraction, and intelligent search.
• Implement AI solutions using Azure AI Services, Azure OpenAI, Azure ML, or Databricks.
• Apply MLOps practices, including model deployment, monitoring, evaluation, and lifecycle management.
• Ensure AI solutions follow responsible AI, security, scalability, and governance best practices.

Requirements

• 3+ years of experience in AI/ML development and enterprise AI solution delivery.
• Strong proficiency in Python.
• Hands-on experience with PyTorch, TensorFlow, or Scikit-Learn.
• Strong knowledge of LLMs, Generative AI, RAG, NLP, and Semantic Search.
• Experience with LangChain or similar LLM frameworks.
• Experience with Azure AI Services, Azure OpenAI, Azure ML, or Databricks.
• Knowledge of MLOps, model monitoring, and responsible AI.
• Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.

Skills

• Python
• PyTorch
• LangChain
• Azure OpenAI
• MLOps

Benefits

• Provident Fund