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AI Engineer TSG

Discussion
  • Design and develop scalable backend services and APIs using Python (Fast API / Django).
  • Build and deploy GenAI applications including RAG pipelines, AI agents, and LLM integrations.
  • Architect end-to-end solutions on GCP, covering data ingestion, processing, model integration, and deployment.
  • Deploy and manage services using Cloud Run, Vertex AI, and other GCP components.
  • Implement engineering best practices including CI/CD, logging, monitoring, and performance optimization.
  • Collaborate with cross-functional teams and manage work through Jira.
  • Use GitHub for version control, code reviews, and maintain clean, production-grade code.
  • Mentor junior engineers and contribute to technical design and standards.

Skills

See also

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