Design and develop scalable generative AI architectures

Build and deploy large language models and agentic systems

Fine-tune and evaluate AI and generative AI models for production

Collaborate with engineering teams to integrate AI solutions

Ensure compliance with security and governance policies

Implement retrieval-augmented generation and vector database solutions

Manage MLOps pipelines for AI system lifecycle

Contribute to continuous improvement of AI frameworks and tools

Support cross-functional teams with AI technical expertise

Extensive experience in AI and machine learning, exceeding 12 years

Specialized experience of at least 2 years with generative AI and large language models

Background in traditional AI and machine learning techniques

Expertise in deep learning methods such as LSTM, CNN, and VAE

Proficiency with generative AI frameworks including LangChain, LlamaIndex, and Hugging Face transformers

Familiarity with vector databases like FAISS and Qdrant

Experience with cloud AI platforms including AWS, Azure, and GCP

Competency in MLOps and AI model productionization

Strong programming skills and knowledge of AI evaluation frameworks such as RAGAS and DeepEval

Problem-solving orientation with effective cross-team collaboration