Compensation Overview

At G-P, our mission is to break down barriers to global business, enabling opportunities for everyone, everywhere. With remote-first and diverse teams all around the world, our people are key to achieving this mission. That’s why we trust our Dream Team members with the flexibility and autonomy to do their best and most innovative work, encourage and support their personal growth and career development, and believe in recognition for a job well done.  

Our industry-leading SaaS-based Global Employment Platform™ enables our customers to expand and grow into 180+ countries, creating more opportunities for global success – without requiring entity or subsidiary setup. The technical opportunities you’ll experience here have a positive impact on people and their work/life possibilities around the world. Beyond the power of our platform, we never forget that behind every hire is a human being. And that brings us to you. 

If you are passionate about AI and building cutting edge products based on Gen AI and want to solve complex problems that lead to a world of positive results, consider G-P. Here, your knowledge and experience will be crucial to helping design and develop high-performing cloud-based software products using traditional Agile methodologies and modern frameworks.  

Beyond a competitive compensation and benefits package, what we offer to all employees along the way is the clear and simple promise of Opportunity Made Possible. Come expand your skills in new ways and experience the thrill of your best innovations becoming reality.  

About the position:

As a Senior Applied 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:

1. Develop innovative, scalable AI solutions for real business problems. Drive the full lifecycle of projects from conception to deployment, ensuring alignment with business objectives.
2. Manage complex data sets, design efficient data processing pipelines, and train robust models. Expect to spend approximately 70% of your time on data and ML engineering tasks related to developing AI systems.
3. Own highly open-ended projects end-to-end, from the analysis of business requirements to the deployment of solutions. Dedicate about 30% of your time to researching new techniques in NLP and ML that could benefit the business.
4. Work closely with other AI engineers, product managers, and stakeholders to ensure that AI solutions meet business needs and enhance user satisfaction.
5. Write clear, concise, and comprehensive technical documentation for all projects and systems developed.
6. Stay updated on the latest developments in the field. Explore and prototype new technologies and approaches to address specific challenges faced by the business.
7. Develop and maintain high-quality machine learning services. Prioritize robust engineering practices and user-centric development.

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 with deep learning architectures
• 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 and ability to write maintainable, production-ready code
• Proficiency with Container Orchestration services such as Docker
• Proficiency with AWS, including Serverless
• Proven track record in driving AI projects with strong technical leadership.
• Excellent communication skills when engaging with both technical and non-technical stakeholders
• Proactive attitude with a continuous improvement mindset, seeking help and providing feedback when necessary

Preferred Qualifications:

• Experience with LLMs for non conversational use cases
• Experience with natural language processing for legal applications
• Proficiency with Terraform

The annual gross base salary range for this position is $152,000 to $190,000. Actual compensation for this position may vary and will depend on multiple factors including relevant qualifications, experience, education and geographic location. This position is also eligible for an annual bonus dependent on various factors, including and without limitation, individual and company performance in addition to base salary.

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