Senior AI Engineer

Role & responsibilities

Job Summary

We are looking for a highly skilled Senior AI Engineer to design, develop, and deploy AI/ML solutions that solve complex business problems. The ideal candidate should have strong expertise in Machine Learning, Deep Learning, Generative AI, Large Language Models (LLMs), MLOps, and cloud platforms. You will collaborate with cross-functional teams to build scalable AI applications and drive AI innovation across the organization.

Key Responsibilities

• Design, develop, and deploy AI/ML models for production environments.
• Build and optimize Machine Learning and Deep Learning models using Python.
• Develop Generative AI applications leveraging Large Language Models (LLMs).
• Implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Fine-tune foundation models using frameworks such as Hugging Face and LangChain.
• Develop AI-powered chatbots, copilots, and intelligent automation solutions.
• Build scalable APIs using FastAPI, Flask, or similar frameworks.
• Deploy AI workloads on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

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Required Skills

• Strong programming skills in Python.
• Hands-on experience with Machine Learning and Deep Learning.
• Experience with frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Strong understanding of Generative AI, LLMs, and Prompt Engineering.
• Experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.
• Experience building RAG (Retrieval-Augmented Generation) solutions.
• Knowledge of Vector Databases such as Pinecone, FAISS, Weaviate, ChromaDB, or Milvus.
• Experience with REST APIs using FastAPI or Flask.
• Hands-on experience with Docker, Kubernetes, and containerized deployments.

Preferred Skills

• Experience with AI Agents and multi-agent frameworks.
• Knowledge of NVIDIA AI ecosystem and GPU optimization.
• Experience with distributed computing using Spark or Ray

Preferred candidate profile