AI Developer​/Engineer

Role Overview

Upslope Advisors is seeking an AI Developer/Engineer to design, build, evaluate, deploy, and sustain production artificial intelligence and machine-learning solutions for a federal civilian agency. The successful candidate will support retrieval-augmented generation applications, advanced chatbots, predictive models, document-processing solutions, fraud-detection capabilities, workflow automation, and other AI-enabled mission applications.

Design, develop, train, evaluate, and optimize artificial intelligence and machine-learning models. Build production retrieval-augmented generation applications, advanced chatbots, document-processing services, predictive models, and automation tools.

This position requires hands-on AI and machine-learning engineering, cloud integration, software development, model evaluation, and production deployment experience. The successful candidate will have strong proficiency in Python, demonstrated experience designing and deploying machine-learning solutions, and experience integrating AI and machine-learning models into production applications.

• Bachelor’s or master’s degree in computer science, artificial intelligence, machine learning, data science, or a related field.
• Five to ten years of relevant software-development, data-science, or AI and machine-learning engineering experience.
• Strong proficiency in Python.
• Demonstrated experience designing and deploying machine-learning solutions.
• Experience integrating AI and machine-learning models into production applications.
• Strong understanding of model evaluation, optimization, testing, and performance measurement.
• Experience working with large and complex datasets.
• Experience with data preprocessing, feature engineering, statistical analysis, and data-quality validation.
• Experience with Git, continuous integration and continuous delivery, automated testing, and infrastructure as code.
• Experience integrating monitoring or observability tools into AI systems.
• Familiarity with deep-learning frameworks and modern AI and machine-learning tools.
• Ability to document models, experiments, processes, and technical decisions.
• Strong analytical, troubleshooting, communication, and collaboration skills.

• Competitive salary
• Equity
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa/relocation assistance
• Remote flexibility
• Stipends
• Bonus/commission
• Paid holidays