Senior AI Engineer

Responsibilities

• Develop and deploy machine learning models using Python and frameworks like PyTorch and TensorFlow.
• Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering.
• Work with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex to integrate AI capabilities.
• Build and maintain MLOps pipelines using Docker, Kubernetes, and monitoring tools for scalable and reliable deployment.
• Develop APIs and endpoint services using FastAPI or Flask.
• Collaborate with offshore teams to drive solution implementation and ensure alignment with project timelines.
• Engage with the client for ongoing communication, requirement gathering, and expectation management.
• Leverage solid knowledge of data structures, algorithms, and distributed systems to optimize solutions.

Requirements

• Strong experience with Python programming and ML frameworks (PyTorch, TensorFlow).
• Hands-on experience with LLMs, embeddings, vector databases, RAG, and prompt engineering.
• Familiarity with cloud AI services such as Azure OpenAI, AWS Bedrock, and GCP Vertex.
• Proficiency with Docker, Kubernetes, and MLOps pipelines.
• Experience in API development (FastAPI, Flask).
• Solid understanding of data structures, algorithms, and distributed systems.
• Excellent communication skills and ability to coordinate with offshore teams and clients.
• Proven track record of driving projects from conception to delivery in a collaborative environment.