The job, in the employer's words
About Us
Our leading SaaS-based Global Employment Platform™ enables clients to expand into over 180 countries quickly and efficiently, without the complexities of establishing local entities. At G-P, we’re dedicated to breaking down barriers to global business and creating opportunities for everyone, everywhere.
Our diverse, remote-first teams are essential to our success. We empower our Dream Team members with flexibility and resources, fostering an environment where innovation thrives and every contribution is valued and celebrated.
The work you do here will positively impact lives around the world. We stand by our promise: Opportunity Made Possible. In addition to competitive compensation and benefits, we invite you to join us in expanding your skills and helping to reshape the future of work.
At G-P, we assist organizations in building exceptional global teams in days, not months—streamlining the hiring, onboarding, and management process to unlock growth potential for all.
G-P helps organizations build global teams in minutes, not months. As part of this mission, we’ve created an indispensable AI agent for HR leaders, G-P Gia™ .
Gia is our AI-powered global HR agent that provides HR compliance guidance instantly. Built on over a decade of global employment and legal expertise and 100,000+ vetted articles, Gia analyzes and generates compliant documents and delivers the answers that HR leaders trust — reducing reliance on outside legal counsel and cutting compliance costs by up to 95%.
About The Position:
GIA helps organizations handle compliance and HR work that is complex, high-stakes and full of edge cases. As our Staff AI Engineer, you’ll set the technical direction for how we build, evaluate and run AI systems, and you’ll stay close to the code while you do it. You’ll write production software, make the architectural calls, and help the engineers around you do their best work.
What You Will Do:
Build
- Write the code that matters most. Design and build production LLM and NLP systems, data pipelines and ML services. Guide critical core components through every stage, moving seamlessly from initial prototyping to production deployment and continuous oversight.
- Make the system trustworthy. Our users act on what GIA tells them. Build the evaluation, monitoring and traceability that catch failures like hallucinations, show why the system gave an answer, and keep a human in the loop where it matters.
Lead
- Set the technical direction. Define the architecture and engineering standards for our AI systems, and make the calls on models, build vs. buy, and the trade-offs between accuracy, cost and speed. Explain your reasoning clearly to engineers and leadership.
- Turn ambiguous problems into shippable solutions. Compliance and HR work rarely arrives as a clean spec. Work with product, customers and domain experts to decide what is worth solving with AI, frame it well and drive it through delivery.
- Raise the engineering bar. Lead design reviews and code reviews, write clear design docs, and mentor engineers at every level. Help shape how we hire, onboard and grow our AI engineers.
Multiply
- Create reusable foundations. Build shared evaluation tooling, deployment pipelines and data practices so every project ships faster and more safely than the last.
- Bring the outside in. Track developments in LLMs and applied ML, run focused experiments, and turn the promising ones into real product capability rather than prototypes.
- Communicate across the business. Partner with product, engineering and leadership, and make complex technical trade-offs understandable to non-technical colleagues.
What We Are Looking For:
Minimum Requirements:
- 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, with ownership of services from first commit through production support
- 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 to keep them reliable
- 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
Preferred Qualifications:
- 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
Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
- Sales Roles: This position is eligible for a commission structure in addition to base salary.
- Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
Benefits
G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.
Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information:
G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.
G-P. Global Made Possible.
G-P is a proud Equal Opportunity Employer, and we are committed to building and maintaining a diverse, equitable and inclusive culture that celebrates authenticity. We prohibit discrimination and harassment against employees or applicants on the basis of race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other legally protected status.
G-P also is committed to providing reasonable accommodations to individuals with disabilities. Individuals with disabilities are encouraged to apply for these positions. If you need an accommodation due to a disability during the interview process, please contact us at careers@g-p.com.
Benefits mentioned
- G-P values its employees and offers excellent benefits and perks including generous paid parental leave, flexible time off, spending accounts, medical insurance, dental insurance, vision insurance, sabbatical after 5 years and more.
- Individuals residing, or applying to work, in the United States: California or Philadelphia, Pennsylvania, please review the following additional information: G-P will consider qualified applicants with arrest or conviction records in accordance with the California Fair Chance Act, Los Angeles City Fair Chance Act Ordinance, Los Angeles County Fair Chance Act Ordinance, and San Francisco Fair Chance Act Ordinance. Los Angeles applicants can review additional information regarding the Los Angeles City Fair Chance Act here: Fair Chance Initiative for Hiring Ordinance, and Philadelphia applicants can review information pertaining to Philadelphia’s Fair Criminal Record Screening Standards Ordinance here: Fair Chance Poster. Any consideration of a candidate’s background check with arrest or conviction records will include an individualized assessment based on the factors required by applicable law, including the candidate’s specific record and the duties and requirements of the specific job.
Requirements mentioned
- 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, with ownership of services from first commit through production support
- 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 to keep them reliable
- 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
- 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
- Our ranges are established using objective market benchmarking data for this level of work. Final placement within the range is determined by gender-neutral criteria, including the candidate's relevant skills, experience, and specific qualifications for the role.
- Actual compensation for this position may vary and will depend on multiple factors such as relevant qualifications, experience, education, and geographic location. For Full-Time Regular Employees, this position is also eligible for additional compensation as follows:
- Sales Roles: This position is eligible for a commission structure in addition to base salary.
- Non-Sales Roles: This position is eligible for an annual bonus which is paid dependent on various factors, including and without limitation, individual and company performance in addition to base salary.
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