Principal AI Engineer

About the role:

As a Principal AI Engineer, you will design, develop, and deploy AI solutions that address complex business challenges. This role requires advanced expertise in artificial intelligence, including machine learning and natural language processing, and the ability to implement these technologies in production-grade systems.

Key Responsibilities:

• Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.

• Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Expect to dedicate about 20% of your time to understanding problems and collaborating with stakeholders.

• Manage complex data sets, design efficient data processing pipelines, and work on robust models. Expect to spend approximately 80% of your time on data and ML engineering tasks related to developing AI systems.

• Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.

• Write clear, concise, and comprehensive technical documentation for all projects and systems developed.

• Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business.

• Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development.

• Able to work independently and influence at different levels of the organization.

• Highly motivated and result driven

Required Skills and Qualifications:

• Master’s degree in Computer Science, Machine Learning, Statistics, Engineering, Mathematics, or a related field

• Deep understanding and practical experience in machine learning and natural language processing especially LLMs

• Strong foundational knowledge in statistical modeling, probability, and linear algebra

• Extensive practical experience with curating datasets, training models, analyzing post-deployment data, and developing robust metrics to ensure model reliability

• Experience developing and maintaining machine learning services for real-world applications at scale

• Strong Python programming skills 

• High standards for code craftsmanship (maintainable, testable, production-ready code)

• Proficiency with Docker

• Knowledge of system design and cloud infrastructure for secure and scalable AI solutions.

• Proficiency with AWS

• Proven track record in driving AI projects with strong technical leadership.

• Excellent communication skills when engaging with both technical and non-technical stakeholders

Nice To Have Qualifications:

• Experience with natural language processing for legal applications

• Proficiency with Terraform

• React and Node.js experience

If you're ready to make an impact in a high-paced startup environment, with a team that embraces innovation and hard work, G-P is the place for you. Be ready to hustle and put in the extra hours when needed to drive our mission forward.

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We will consider for employment all qualified applicants who meet the inherent requirements for the position. Please note that background checks are required, and this may include criminal record checks.