Description

Design and build enterprise-grade generative AI solutions, including LLM integration, RAG pipelines, and autonomous agents.

This role is on-site.

Responsibilities

• Architect and deploy end-to-end MLOps and LLM Ops lifecycles on Azure.
• Build and fine-tune Large Language Models (PALM2, GPT4, LLAMA) and Small Language Models.
• Develop AI agents using LangChain and AutoGen with robust prompt engineering.
• Implement RAG pipelines and multimodal AI model integrations.
• Deliver scalable enterprise-level AI/ML projects with strong solutioning.

Required Skills

• 10+ years of experience in AI/ML engineering and solutioning.
• Proficiency in Python, PyTorch, and TensorFlow.
• Hands-on experience with LangChain and AutoGen frameworks.
• Deep understanding of RAG pipelines and prompt engineering.
• Experience with MLOps and LLM Ops on Azure.
• Proven track record of large-scale ML deployment.

Preferred Skills

• Experience with multimodal AI models.
• Familiarity with fine-tuning SLMs alongside LLMs.

Key Skills

Education

Any Graduate