Senior Staff Engineer, AI,LLM
ExternalFull-timeOn-site2w ago
CI/CDGCPGenerative AILeadershipLLMsMentoring
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Responsibilities
- Design, build, and deploy production-grade Generative AI and Agentic AI solutions using GCP and Vertex AI.
- Develop AI Agents, Agentic Workflows, and RAG-based solutions leveraging enterprise data sources.
- Design secure, scalable, and reliable AI architectures aligned with business requirements.
- Build and maintain AI platforms, APIs, and reusable AI components.
- Implement AI security, governance, monitoring, observability, and performance optimization practices.
- Establish and manage CI/CD pipelines and MLOps processes for AI solutions.
- Design and execute AI testing, evaluation, and quality assurance strategies.
- Collaborate with Product, Engineering, and Data Science teams to deliver AI-powered solutions.
- Develop high-quality Python code and participate in code reviews and architecture discussions.
- Research emerging AI technologies and drive continuous improvement and innovation.
- Troubleshoot production issues and provide technical leadership and mentoring.
- Bachelor's or master's degree in computer science, Information Technology, or a related fields,
Requirements
- Total experience 8+ years.
- Strong experience in AI/ML Engineering and Generative AI solution development.
- Hands-on expertise in Python development for AI/ML applications and scalable AI services (Must Have).
- Strong experience with GCP and Vertex AI, including model deployment, pipelines, and AI services (Must Have).
- Deep understanding of LLMs, Foundation Models, embeddings, prompt engineering, and RAG architectures (Must Have).
- Hands-on experience building Agentic Workflows and AI Agents (Must Have).
- Experience with Vector Search, AI security, governance, and responsible AI practices.
- Strong knowledge of MLOps, CI/CD, automated testing, and Infrastructure as Code.
- Experience with observability, monitoring, logging, and tracing for AI systems.
- Strong understanding of APIs, microservices, and cloud-native architectures.
- Excellent problem-solving, communication, and stakeholder management skills.
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Company Intel
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