Validate:

Correctness Accuracy Hallucination Rate Relevance Groundedness Safety Toxicity Latency Cost Efficiency Build automated regression testing for AI agents. Perform red-teaming and adversarial testing. Create benchmark datasets and evaluation metrics. Production Deployment & Operations Deploy and monitor AI workloads on Google Cloud Platform (GCP). Establish observability, monitoring, and AI governance controls. Optimize model performance, token consumption, latency, and operational costs. Implement CI/CD and MLOps/LLMOps practices. Stakeholder Collaboration Gather business requirements and convert them into AI solutions. Collaborate with product owners, architects, data engineers, and business stakeholders. Provide technical leadership on AI strategy and implementation.

Required Technical Skills Generative AI Google AI Stack Agent AI Engineering RAG & Knowledge Systems AI Evaluation & Testing Programming & Engineering Cloud & DevOpsEducation & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience2-4+ years in software development. 2-4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services. Experience in deploying AI applications into production environments. Skill Requirements Generative AI Google AI Stack Agent AI Engineering RAG & Knowledge Systems AI Evaluation & Testing Programming & Engineering Cloud & DevOps Other Requirements Education & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience 2-4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services. Experience in deploying AI applications into production environments. Maximum Salary (US): 148000 Minimum Salary (US): 78000 #body.unify div.unify-button-container .

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