Senior Lead AI Engineer

What you'll do

• Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
• Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability systems.
• Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
• Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap of foundational AI systems.
• Lead and mentor an engineering team while influencing cross-functional stakeholders.
• Apply novel techniques from scientific publications to production 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, or Java.
• 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
• Experience designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders (preferred).
• Experience developing AI/ML algorithms like LLM Inference, Similarity Search, and VectorDBs using Python, C++, C#, Java, or Golang (preferred).
• Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).