AI Engineer 4

What you'll do

• Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
• Build and manage agents, multi-agent workflows, similarity search, guardrails, and model evaluation systems.
• Implement foundation model optimization techniques to improve scalability, cost, latency, and throughput of production systems.
• Own the end-to-end architecture for complex AI systems to ensure maintainability, observability, and ethical alignment.
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
• Optimize GPU/TPU utilization and accelerate model inference pipelines in collaboration with infrastructure engineering.
• Lead cross-functional technical reviews to ensure new AI deployments meet security, data governance, and compliance standards.
• Mentor senior associates on scalable design, performance tuning, and translating research into production environments.

What we're looking for

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI and ML algorithms.
• Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 2 years of experience developing AI and ML algorithms.
• At least 4 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).
• 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
• Experience designing, developing, delivering, and supporting AI services (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).