Artificial Intelligence Engineer

Job Title: AI Lead

Mode of Work – Hybrid (4 days onsite)

Mode of Interview – Face to Face

Responsibilities

• Design, develop, and deploy scalable AI/ML applications using Python, leveraging frameworks such as PyTorch, TensorFlow, Keras, Hugging Face Transformers, and LangChain.
• Build and maintain robust backend services and RESTful APIs using FastAPI, Django, and Flask to support AI‑powered products and platforms.
• Develop and optimize data processing pipelines, ETL workflows, and database solutions using PostgreSQL and other data technologies.
• Implement advanced AI solutions in Natural Language Processing (NLP), Computer Vision, Retrieval‑Augmented Generation (RAG), and multi‑agent systems.
• Collaborate with cross‑functional teams to architect, develop, and deploy production‑grade machine learning and generative AI solutions with a focus on scalability, performance, and reliability.

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