Innovative GenAI Specialist

1 dia atrás

São Paulo, São Paulo, Brasil beBeeArchitect Tempo inteiro R$180.000 - R$240.000
GenAI Architect

We are seeking a highly skilled and innovative GenAI Architect to lead the development and implementation of cutting-edge AI solutions on Google Cloud Platform.

The ideal candidate will have hands-on experience with OpenAI models, LangChain, and Vertex AI, as well as a strong foundation in observability tools like LangFuse, LangSmith, and AI security practices.

Key Responsibilities:
  • Architecture Design: Design and develop robust and scalable AI architectures that leverage the power of generative AI models on GCP.
  • Model Selection and Fine-tuning: Evaluate and select appropriate AI models (e.g., PaLM 2, Gemini via Vertex AI), and fine-tune them using GCP-native tools to meet specific business requirements.
  • Prompt Engineering: Develop effective prompting strategies to elicit desired outputs from AI models, using Vertex AI's prompt tuning and APIs.
  • Integration with Cloud Platforms: Integrate AI solutions with GCP services such as Vertex AI, BigQuery, Cloud Functions, and Cloud Run, optimizing for performance and cost-efficiency.
  • Observability and Monitoring: Implement robust monitoring using Cloud Logging, Cloud Monitoring, and tools like LangFuse to track model performance and identify potential issues.
  • Data Engineering: Collaborate with data engineers leveraging BigQuery, Dataflow, and Pub/Sub to ensure the availability of high-quality data for training and inference.
  • Team Leadership: Mentor and guide team members in the adoption of AI best practices and GCP services.

This role is responsible for developing and implementing advanced AI solutions utilizing Google Cloud Platform technologies. Key responsibilities include architecture design, model selection and fine-tuning, prompt engineering, integration with cloud platforms, observability and monitoring, data engineering, and team leadership. The ideal candidate will possess strong technical skills and expertise in AI/ML, as well as excellent communication and collaboration abilities.

Requirements:
  • A strong understanding of generative AI models, including large language models, text-to-image models, and more.

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