Role Description & Responsibilities
Artificial Intelligence
About Scale AI
Scale AI is a high-growth technology leader building scalable solutions for global users. Millions of companies and teams rely on their infrastructure and services to execute high-value workflows, analyze massive datasets, and scale modern operations.
CadetX Candidate Advantage: As an applicant for this Artificial Intelligence role, you are evaluated on practical proficiency with real-world query execution, data pipelines, and clear stakeholder communication.
CadetX Role Brief & Company Specifications
Role Mission & Impact
Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
We are hiring Applied AI Engineers to build custom end-to-end AI applications for our public sector clients using the latest developments in the field of AI. You will also get the opportunity to develop and be part of creating custom datasets, evaluations, and fine-tuning these sophisticated models to maximize performance and apply on real world use cases with global reach.
Key Responsibilities & Day-to-Day Scope
- ✓ Creating custom AI applications that will impact millions of citizens
- ✓ Generating high-quality training data for national LLMs
- ✓ Upskilling and advisory services to spread the impact of AI
- ✓ Partner with public sector clients to deeply understand their challenges and define AI-driven solutions
- ✓ Build and deploy end-to-end AI applications into production leveraging latest developments from the biggest AI labs, and open source models
- ✓ Collaborate with cross-functional teams, including data annotation specialists, to create high-quality training datasets
- ✓ Design and maintain robust evaluation frameworks to ensure the reliability and effectiveness of AI models
- ✓ Participate in customer engagements, including occasional travel (approximately two weeks per quarter)
- ✓ Contribute to the scaling of AI capabilities in the public sector through hands-on knowledge sharing
- ✓ A strong engineering background, with a Bachelor’s degree in Computer Science, Mathematics, or a related quantitative field (or equivalent practical experience)
Official Qualifications & Technical Requirements
- • 7+ years of post-graduation engineering experience, with demonstrated proficiency in languages such as Python, TypeScript/JavaScript, Java, or C++.
- • 2+ years of experience applying AI/ML in production environments, such as deploying deep learning solutions, building generative/agentic AI applications or setting up evaluations pipelines
- • Familiarity with cloud-based machine learning tools and platforms (e.g. AWS, GCP, Azure)
- • Strong problem-solving skills, with a data-driven approach to iterating on machine learning models and datasets
- • Excellent written and verbal communication skills to collaborate effectively in a cross-functional environment
- • Experience working at a startup, particularly as founding engineer
- • Experience building and deploying large-scale AI solutions
- • Strong written and verbal communication skills to operate in a cross-functional team environment
- • Proficiency in Arabic (if focused on language models)
Preferred Skills & Technology Stack
- + Experience fine-tuning small language models (LoRA, QLoRA) on domain-specific datasets.
- + Exposure to cloud platforms (AWS, GCP, Azure) and container deployment (Docker).
- + Active portfolio of deployed AI applications or hackathon projects.
Tech Stack & Tools in this role
Expected technical competencies for Day 1 productivity:
★ Life & Culture at Scale AI
Verified EmployerScale AI champions rigorous analytical discipline, continuous learning, and low-ego teamwork. Team members enjoy flexible hybrid allowances, learning stipends, and structured mentorship to fast-track career mobility.