Staff AI Engineer

The role

You will set the technical direction for building, evaluating, and running AI systems. You will write production software, design LLM and NLP systems, and mentor engineers.

What you will do

• Design and build production LLM and NLP systems, data pipelines and ML services.
• Build evaluation, monitoring and traceability to catch failures like hallucinations.
• Define architecture and engineering standards for AI systems.
• Make decisions on models, build vs. buy, and trade-offs between accuracy, cost and speed.
• Work with product, customers and domain experts to solve problems with AI.
• Lead design reviews and code reviews.
• Write clear design docs and mentor engineers at every level.
• Build shared evaluation tooling, deployment pipelines and data practices.
• Track developments in LLMs and applied ML.
• Partner with product, engineering and leadership.

Required qualifications

• 8+ years building and shipping machine learning systems, with a record of technical leadership on production work
• Strong Python and the ability to write clean, maintainable, production-ready code
• Deep, hands-on experience with machine learning and NLP, including deep learning and modern LLMs
• Experience designing evaluation frameworks and metrics, and monitoring models after deployment
• Strong foundations in statistics, probability and linear algebra
• Experience building and running ML services at scale, with Docker and AWS, including serverless
• A history of making architectural and technical decisions that others adopted, and of leading projects without formal authority
• Experience mentoring engineers and improving how a team builds
• Comfort with ambiguous, open-ended problems
• Excellent communication skills with both technical and non-technical audiences
• A Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics or a related field, or equivalent practical experience

Nice to have

• Experience using LLMs for non-conversational work such as extraction, classification, structured outputs and reasoning over documents
• Background in compliance, HR tech, regulatory or other sensitive, audit-heavy domains
• Experience with explainability and human-in-the-loop design
• Terraform or other infrastructure as code

Benefits

• generous paid parental leave
• flexible time off
• spending accounts
• medical insurance
• dental insurance
• vision insurance
• sabbatical after 5 years

About the company

G-P's leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently. Their remote-first teams work to break down barriers to global business.