AI Engineer 5

What you'll do

• Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
• Implement multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models into unified systems.
• Invent and introduce state-of-the-art optimization techniques to improve performance, scalability, cost, and latency of production AI.
• Establish and lead cost-performance governance reviews to track GPU utilization, model throughput, and inference cost efficiency.
• Lead team design councils 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 AI/ML experience.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of AI/ML experience.
• 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/ML algorithms like LLM Inference, Similarity Search, and VectorDBs 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).