Principal AI Engineer/AI Applied Scientist

Location: Work from Home, United States

Targeted base pay range: $171,500–$269,500 per year

Company

hirify.global is a global analytics software company helping businesses in more than 100 countries make better decisions through analytics, artificial intelligence, machine learning, optimization, credit scoring, fraud detection, and lending solutions.

What you will do

• Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation across hirify.global’s platform.
• Develop prompting strategies, custom RAG implementations, and vector-database-based information retrieval architectures.
• Apply fine-tuning, model adaptation, in-context learning, and custom evaluation frameworks to improve AI performance.
• Build model evaluation, governance, monitoring, drift-detection, backtesting, and A/B testing systems.
• Research and integrate new models, architectures, training approaches, and AI techniques.
• Write production-quality code and design scalable, reliable, secure machine-learning systems while mentoring teams and collaborating across departments.

Requirements

• Extensive industry experience in software, machine learning, or data engineering, including management of complex large-scale projects and strategic technical decisions.
• In-depth experience with fine-tuning, model adaptation, customization, modern LLMs, prompt engineering, and chain-of-thought prompting.
• Extensive experience with RAG architectures and familiarity with vector databases.
• Strong coding skills in Python, Go, Java, or similar languages; experience with PyTorch, JAX, or similar deep-learning frameworks.
• Experience with machine-learning evaluation, testing, backtesting, custom evaluation frameworks, and A/B testing.
• Expertise in model monitoring, drift detection, governance, compliance, and regulatory technology in AI-driven decisioning environments.
• Strong software-engineering fundamentals, including production-quality code and scalable architecture design.
• Ability to mentor teams, collaborate across departments, and drive impact in fast-paced, high-growth, high-stakes environments.
• Publications, patents, or open-source contributions demonstrating AI and machine-learning expertise, plus a bachelor’s, master’s, or PhD degree in computer science or a related field focused on machine learning.

Nice to have

• Proven expertise in modern Large Language Models and their applications.

Culture & Benefits

• Inclusive, people-first environment guided by ownership, customer focus, and respect.
• Professional development through learning experiences and opportunities to apply individual strengths.
• Competitive compensation, benefits, and rewards programs.
• Work/life balance, employee resource groups, and social events.
• Full-time employment with a remote work arrangement from the United States.