Python Developer- AI Experience

As a Python Developer with AI experience, your role will involve developing AI-driven applications using Python and other relevant technologies. Your key responsibilities will include: - Proficiency in Python and experience with FastAPI for asynchronous implementation. - Hands-on experience with deploying AI applications on GCP/hybrid platforms. - Knowledge of vector databases (e.g., Redis, Chroma DB) and traditional SQL & NoSQL databases. - Experience with containerization and orchestration using Docker and Kubernetes. - Robust understanding of classical ML, deep learning, and Generative AI technologies. - Familiarity with LLMS, Google ADK, Anthropic MCP, and multi-agent frameworks for Generative AI. - Ability to conduct performance testing and optimize backend systems. - Proficiency in Splunk for logging and diagnostics. Qualifications required for this role include: - Proficiency in Python and experience with FastAPI. - Hands-on experience with deploying AI applications on GCP/hybrid platforms. - Knowledge of vector databases, traditional SQL & NoSQL databases. - Experience with Docker and Kubernetes for containerization and orchestration. - Understanding of classical ML, deep learning, and Generative AI technologies. - Familiarity with LLMS, Google ADK, Anthropic MCP, and multi-agent frameworks for Generative AI. - Ability to conduct performance testing and optimize backend systems. - Proficiency in Splunk for logging and diagnostics. Preferred qualifications for this role include: - Experience in prototyping and deploying AI-driven applications in production environments. - Knowledge of React frameworks for multi-agent AI systems. - Familiarity with CI/CD pipelines and DevOps practices. - Strong problem-solving skills and ability to address challenges in cloud deployment and backend optimization. - Understanding of ethical AI practices and governance frameworks. As a Python Developer with AI experience, your role will involve developing AI-driven applications using Python and other relevant technologies. Your key responsibilities will include: - Proficiency in Python and experience with FastAPI for asynchronous implementation. - Hands-on experience with deploying AI applications on GCP/hybrid platforms. - Knowledge of vector databases (e.g., Redis, Chroma DB) and traditional SQL & NoSQL databases. - Experience with containerization and orchestration using Docker and Kubernetes. - Robust understanding of classical ML, deep learning, and Generative AI technologies. - Familiarity with LLMS, Google ADK, Anthropic MCP, and multi-agent frameworks for Generative AI. - Ability to conduct performance testing and optimize backend systems. - Proficiency in Splunk for logging and diagnostics. Qualifications required for this role include: - Proficiency in Python and experience with FastAPI. - Hands-on experience with deploying AI applications on GCP/hybrid platforms. - Knowledge of vector databases, traditional SQL & NoSQL databases. - Experience with Docker and Kubernetes for containerization and orchestration. - Understanding of classical ML, deep learning, and Generative AI technologies. - Familiarity with LLMS, Google ADK, Anthropic MCP, and multi-agent frameworks for Generative AI. - Ability to conduct performance testing and optimize backend systems. - Proficiency in Splunk for logging and diagnostics. Preferred qualifications for this role include: - Experience in prototyping and deploying AI-driven applications in production environments. - Knowledge of React frameworks for multi-agent AI systems. - Familiarity with CI/CD pipelines and DevOps practices. - Strong problem-solving skills and ability to address challenges in cloud deployment and backend optimization. - Understanding of ethical AI practices and governance frameworks.