Found Description
Key Responsibilities
Design, develop, and deploy Generative AI applications using Python and Google Cloud Platform services.
Build scalable AI solutions utilizing GCP services such as Vertex AI, Generative AI APIs, Big Query, Cloud Functions, and Google Kubernetes Engine (GKE).
Develop and optimize prompt engineering, retrieval-augmented generation (RAG), and LLM-powered applications.
Collaborate with Product Managers, Data Scientists, Architects, and Engineering teams to gather requirements and translate them into technical solutions.
Develop and integrate APIs and microservices for seamless interaction between AI models and enterprise applications.
Fine-tune, evaluate, and optimize Large Language Models (LLMs) and Generative AI workflows.
Ensure AI solutions are scalable, reliable, secure, and production ready.
Participate in architecture discussions, code reviews, and technical design sessions.
Troubleshoot, monitor, and enhance deployed Gen AI application...
Design, develop, and deploy Generative AI applications using Python and Google Cloud Platform services.
Build scalable AI solutions utilizing GCP services such as Vertex AI, Generative AI APIs, Big Query, Cloud Functions, and Google Kubernetes Engine (GKE).
Develop and optimize prompt engineering, retrieval-augmented generation (RAG), and LLM-powered applications.
Collaborate with Product Managers, Data Scientists, Architects, and Engineering teams to gather requirements and translate them into technical solutions.
Develop and integrate APIs and microservices for seamless interaction between AI models and enterprise applications.
Fine-tune, evaluate, and optimize Large Language Models (LLMs) and Generative AI workflows.
Ensure AI solutions are scalable, reliable, secure, and production ready.
Participate in architecture discussions, code reviews, and technical design sessions.
Troubleshoot, monitor, and enhance deployed Gen AI application...