Head Of Engineering (AI)

TL;DR

Head of Engineering (AI): Leads the development and integration of AI across hirify.global's platform, covering intelligent forecasting models, optimization algorithms, and personalized customer experiences, with an accent on owning the AI engineering roadmap and productionizing ML models. Focus on designing scalable infrastructure for deploying and maintaining ML systems in production, including MLOps, CI/CD for ML, and model versioning.

Salary: Competitive salary and an equity sign-on bonus

Company

hirify.global is a forward-thinking renewable energy startup building a fully integrated energy company, developing solar, wind and hydrogen projects, real-time power trading, and a decentralized platform of smart devices.

What you will do

• Own the AI engineering roadmap and lead the development of AI-first features.
• Productionize ML models, ensuring scalability, performance, and observability.
• Design infrastructure for deploying and maintaining ML systems in production (MLOps, CI/CD for ML, model versioning).
• Build systems integrating AI into demand forecasting, dynamic pricing, and personalized customer features.
• Work closely with product and engineering leadership to identify high-impact AI opportunities.
• Build and lead a high-performing team of AI engineers.

Requirements

• Strong software engineering background with 5+ years of experience, including at least 2 years leading AI/ML engineering teams.
• Deep experience deploying ML models into production environments.
• Proficiency in designing scalable data pipelines and real-time inference systems.
• Understanding of modern ML tooling and frameworks (PyTorch, TensorFlow, MLflow, AWS SageMaker).
• Strong cross-functional collaboration skills, particularly with data science and product teams.
• Clear communication and ability to prioritize for both experimentation and reliability.

Nice to have

• Familiarity with optimization, time series modeling, or forecasting.
• Experience with large language models (LLMs), RAG, or generative AI in production.
• Background in MLOps or AI infrastructure at scale.

Culture & Benefits

• Competitive salary and an equity sign-on bonus.
• Biannual bonus scheme.
• Fully expensed tech.
• Paid annual leave.
• Breakfast and dinner allowance for office based employees.