Senior AI Engineer (AI)

TL;DR

Senior AI Engineer (AI): Design, develop, and operationalize the first B2B In-Classroom Tutor AI using cutting-edge AI solutions that power critical product features. Focus on working hands-on across the full machine learning lifecycle, from experimentation to deployment, shaping the future of AI at scale for millions of learners and educators.

Location: Remote from North America (US or Canada)

Salary: $160,000 - $190,000 USD or $145,000 - $170,000 CAD plus equity

Company

hirify.global is a product company reimagining how schools support students with AI-powered instructional tools and 24/7 tutoring to help every learner reach their full potential.

What you will do

• Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
• Work cross-functionally with Product Managers, Software Engineers, and Data Scientists to translate product requirements into robust AI solutions.
• Own the end-to-end lifecycle of AI initiatives, from data manipulation and model experimentation to deployment, monitoring, and continuous improvement.
• Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps.
• Stay current with the latest AI advancements and drive rapid experimentation to identify opportunities for impactful innovation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related field.
• 5+ years of experience developing production-grade AI/ML systems.
• Proven success delivering both trained (supervised, unsupervised) and prompt-based (LLM-powered) solutions.
• Experience evaluating and monitoring model performance with robust testing and validation protocols.
• Strong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, or OpenAI APIs.
• Deep understanding of the full ML lifecycle—data pipelines, model training, inference, and monitoring.
• Experience operationalizing LLMs and prompt-engineering workflows.
• Familiarity with distributed systems and cloud infrastructure for AI workloads (e.g., AWS, GCP, Azure).

Nice to have

• Experience in EdTech or education-related products.
• Familiarity with regulatory or ethical considerations in ML model development and evaluation.
• Experience with multi-modal or retrieval-augmented generation (RAG) systems.

Culture & Benefits

• Joining a remote-first company with a collaborative, mission-driven culture.
• Opportunities to connect in person throughout the year.
• Comprehensive and competitive compensation, health benefits, retirement plan, and stock options.
• Generous time off including vacation days, sick days, statutory holidays, hirify.global Days, and a full hirify.global Week (Dec 25 to Jan 1).
• A $500 stipend to set up your workspace and $100 monthly stipends for ongoing workspace needs.
• Support for growing families with generous paid parental leave and unlimited access to tutoring for children of employees.