Sr. AI Engineer
United IT Solutions
Role: Sr. AI Engineer Location: Oakland, CA (Onsite) Key Responsibilities
• Design and develop agentic workflows using Vertex AI and Agent Builder
• Build, integrate, and deploy AI agents leveraging Python and cloud-native services .
• Implement observability, monitoring , and evaluation frameworks for AI systems.
• Define deployment, governance, and security best practices.
• Develop testing strategies, validation frameworks, and performance benchmarks.
• Collaborate with product, engineering, and business stakeholders to deliver scalable solutions.
• Support production operations, troubleshooting, and continuous optimization. Required Qualifications
• Minimum 5+ years relevant experience
• Strong Python development skills
• Experience with Vertex AI, Agent Builder, and LLM-based application development .
• Understanding of agent orchestration , RAG architectures, and AI evaluation methodologies .
• Experience with cloud deployment, monitoring, and governance frameworks .
• Strong engineering fundamentals and ability to deliver production-ready AI solutions.
• Excellent communication and stakeholder collaboration skills. Preferred Qualifications
• Experience with Gemini, enterprise AI platforms, and multi-agent systems .
• Familiarity with MLOps, CI/CD, and responsible AI practices.
• Design and develop agentic workflows using Vertex AI and Agent Builder
• Build, integrate, and deploy AI agents leveraging Python and cloud-native services .
• Implement observability, monitoring , and evaluation frameworks for AI systems.
• Define deployment, governance, and security best practices.
• Develop testing strategies, validation frameworks, and performance benchmarks.
• Collaborate with product, engineering, and business stakeholders to deliver scalable solutions.
• Support production operations, troubleshooting, and continuous optimization. Required Qualifications
• Minimum 5+ years relevant experience
• Strong Python development skills
• Experience with Vertex AI, Agent Builder, and LLM-based application development .
• Understanding of agent orchestration , RAG architectures, and AI evaluation methodologies .
• Experience with cloud deployment, monitoring, and governance frameworks .
• Strong engineering fundamentals and ability to deliver production-ready AI solutions.
• Excellent communication and stakeholder collaboration skills. Preferred Qualifications
• Experience with Gemini, enterprise AI platforms, and multi-agent systems .
• Familiarity with MLOps, CI/CD, and responsible AI practices.
Vacancy posted 4 days ago
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