Senior AI engineer

About the role

The ideal candidate will have strong expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), and AI application development. The candidate will be responsible for building intelligent applications, integrating AI models into enterprise systems, optimizing model performance, and driving AI innovation across business use cases.

What you'll do

• Design, develop, and deploy AI/ML models for real-world business applications
• Build and implement Generative AI solutions using LLMs such as GPT, Claude, Gemini, and open-source models
• Develop LLM-based applications using frameworks such as LangChain, LangGraph, and LlamaIndex
• Design and implement Retrieval-Augmented Generation (RAG) pipelines
• Work with vector databases such as Pinecone, Weaviate, Milvus, or FAISS

What you need

• Machine learning
• Python
• SQL
• LLMs
• MLOps
• Scikit-learn
• M.Sc or B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA

Good to have

• Deep learning
• Prompt engineering
• AWS
• NLP
• TensorFlow
• PyTorch