Generative AI Senior Engineer

About the job

AI Engineer Generative AI Senior Engineer: · Builds and optimizes advanced Gen AI systems. Integrates APIs, explores new tools, and contributes to cutting-edge AI applications. · Python and familiar with AI/Gen AI frameworks. Experience with data manipulation libraries like Pandas and NumPy is crucial. · Strong hands on experience in building RAG is a must · Specific expertise in implementing and managing large language models (LLMs) is a must · Fast API experience for API development, NodeJS for backend development and integration · A solid grasp of software engineering principles, including version control (Git), continuous integration and continuous deployment (CI/CD) practices, and automated testing, is required. · Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions, is essential. · We also need proficiency in DevOps tools such as Docker, Kubernetes, Jenkins, and Terraform, along with advanced CI/CD practices. · Experience Agentic AI implementation is a plus

Requirements

• Python
• AI frameworks
• Pandas
• NumPy
• RAG
• LLMs
• Fast API
• NodeJS
• MLOps

Preferred Technologies

• Python
• AI frameworks
• Pandas
• NumPy
• RAG
• LLMs
• Fast API
• NodeJS
• MLOps