Description

Design and develop generative AI solutions, optimizing RAG pipelines and scalable microservices for production environments.

This role is on-site.

Responsibilities

• Build and optimize RAG pipelines, vector databases, and semantic search for intelligent data retrieval.
• Develop and deploy scalable APIs and microservices using Python (FastAPI/Flask).
• Implement MLOps/LLMOps practices for model deployment, monitoring, and continuous optimization.
• Preprocess large datasets and engineer features to support model training and evaluation.

Required Skills

• 5+ years of experience in AI/ML engineering with a focus on generative AI.
• Strong expertise in Python, LangChain, and LlamaIndex.
• Hands-on experience building RAG pipelines with vector databases.
• Proficiency in FastAPI and Flask for API development.
• Experience with MLOps and LLMOps tools and practices.

Preferred Skills

• Bachelor’s or master’s degree in Computer Science, AI, or Data Science.

Key Skills

Education

Any Graduate