Head of Engineering (AI)

Fuse Energy; United Arab Emirates; On-site; AED 440,000 - 588,000; Full time

Job summary

A leading energy technology company in the United Arab Emirates is seeking a Head of Engineering (AI). In this strategic role, you will develop and integrate AI across the platform, from intelligent forecasting to customer experiences. Ideal candidates should have 5+ years in software engineering and significant experience leading AI/ML teams. The position offers a competitive salary, stock options, and additional benefits such as annual leave and meals for office-based employees.

Benefits

Competitive salary

Stock options sign-on bonus

Biannual bonus scheme

Paid annual leave

Breakfast and dinner for office based employees

Qualifications

• 5+ years of experience in software engineering, including 2 years leading AI/ML teams.
• Experience deploying ML models in production.
• Proficiency in scalable data pipeline design.

Responsibilities

• Lead development of AI-first features and engineering strategy.
• Productionize ML models for scalability and performance.
• Design infrastructure for ML system deployment.

Skills

Software engineering

AI/ML engineering leadership

ML model deployment

Data pipeline design

Cross-functional collaboration

Communication skills

Tools

PyTorch

TensorFlow

MLflow

AWS SageMaker

Job description

At Fuse, we're building a fully integrated energy company, from developing solar, wind, and hydrogen to power trading & distributed energy installations. We sell directly to energy consumers, cutting out the middleman to reduce costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralized network of smart devices where users get rewarded in Energy Dollars for electrifying their homes, shifting usage to off‑peak hours, and helping balance the grid. The energy network helps the grid achieve energy stability, a crucial requirement for growth of AI data centers and energy‑intensive industries. We’ve raised $90M from top‑tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group, and strategic angels like Nico Rosberg, co‑founder of Solana, and GPs behind Meta, Revolut, Spotify, Uber, and more.

Role Overview

As the Head of Engineering (AI) at Fuse Energy, you will lead the development and integration of AI across our platform—from intelligent forecasting models and optimization algorithms to personalized customer experiences and internal automation. This role is both strategic and hands‑on. You’ll own the engineering strategy for how AI is built, deployed, and scaled across our stack, partnering closely with data science, product, and platform teams.

What You’ll Do

• Own the AI engineering roadmap and lead the development of AI‑first features.
• Productionize ML models, ensuring scalability, performance, and observability.
• Design the infrastructure for deploying and maintaining ML systems in production (e.g., MLOps, CI/CD for ML, model versioning).
• Build systems that integrate AI into key parts of our stack, such as:
  • Forecasting customer demand and renewable generation
  • Dynamic pricing and energy trading algorithms
  • Intelligent alerts 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.

Benefits & Compensation

• Competitive salary and a stock options sign‑on bonus.
• Biannual bonus scheme.
• Fully expensed tech to match your needs!
• Paid annual leave.
• Breakfast and dinner for office based employees.

Qualifications

• 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 (e.g., PyTorch, TensorFlow, MLflow, AWS SageMaker).
• Strong cross‑functional collaboration skills, particularly with data science and product teams.
• Clear communication and an ability to prioritize for both experimentation and reliability.
• Bonus: 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.