AI Engineer 5, GenAI Platform Services, Agentic Platform

What you'll do

• Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
• Build and optimize multi-agent workflows, similarity search, guardrails, and model evaluation systems.
• Implement state-of-the-art optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
• Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
• Lead cost-performance governance reviews to track GPU utilization, model throughput, and inference cost efficiency.
• Lead design councils and review boards to ensure technical consistency and compliance with AI engineering standards.
• Mentor Principal and Manager-level AI engineers to foster cross-domain learning and elevate organizational technical maturity.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.

What we're looking for

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI and ML algorithms.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI and ML algorithms.
• At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
• Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
• Experience designing, developing, delivering, and supporting complex AI systems (preferred).
• Experience developing AI and ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).