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Python AI Engineer (RARR Job 5995)

For An Indian Multinational Information Technology Company
4 - 12 Years
Full Time
Immediate
Up to 30 LPA
1 Position(s)
Ahmedabad, Aurangabad, Bangalore / Bengaluru, Bhubaneswar, Chandigarh, Chennai, Coimbatore, Gandhinagar, Gurugram, Hyderabad, Indore, Kolkata, Mumbai, Mysuru, Nagpur, Nashik/Nasik, Navi Mumbai, Noida, Pune, Vadodara, Vijayawada, Visakhapatnam, Warangal
Posted 13 Days Ago

Job Skills

Job Description

We are seeking a skilled Python AI Engineer with strong expertise in developing, fine-tuning, and deploying AI models leveraging Azure OpenAI services. The ideal candidate will design scalable and production-ready AI solutions that address diverse business requirements such as text generation, summarization, sentiment analysis, RAG pipelines, and agentic AI workflows.

Key Responsibilities

  • Develop and maintain robust Python scripts to interact with Azure OpenAI APIs.
  • Evaluate, select, and fine-tune Azure OpenAI models based on project needs.
  • Design and implement AI solutions for multiple NLP tasks including text generation, summarization, and sentiment analysis.
  • Build, implement, and optimize RAG (Retrieval-Augmented Generation) architectures to enhance contextual accuracy.
  • Develop Agentic AI solutions, including autonomous workflows, tool integrations, and multi-step reasoning agents.
  • Deploy, monitor, and optimize AI models in production.
  • Stay updated with advancements in AI, LLMs, RAG, and agent-centric architectures.
  • Utilize industry-standard frameworks and tools to improve efficiency.
  • Ensure scalability and performance of AI applications.
  • Collaborate effectively with both technical and non-technical stakeholders.
  • Troubleshoot and resolve AI model development challenges with innovative solutions.

Required Skills and Experience

  • Strong proficiency in Python programming and experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers).
  • Hands-on experience with Azure OpenAI models and APIs.
  • Experience designing and implementing RAG pipelines with vector databases (FAISS, Pinecone, Azure Cognitive Search).
  • Experience building Agentic AI systems or autonomous task agents.
  • Good understanding of MLOps, version control, and CI/CD pipelines.
  • Familiarity with prompt engineering, data preprocessing, and model optimization.
  • Strong problem-solving and analytical skills.