Applied AI Engineer (Energy)

TL;DR

Applied AI Engineer (AI): Building and optimizing AI-powered features for consumer experiences and internal productivity with an accent on personalized energy recommendations, seamless onboarding, and enhancing workflows. Focus on deploying large-scale AI models into production and integrating AI-driven features into energy trading platforms.

Location: Office presence is supported with breakfast and dinner allowance for office-based employees.

Company

hirify.global is a renewable energy startup combining first-principles thinking with cutting-edge technology to build a better energy system and a decentralized platform of smart devices.

What you will do

• Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding.
• Build and optimise internal AI tools to enhance company productivity and streamline workflows.
• Collaborate with backend engineers and data scientists to integrate AI-driven features into platforms.
• Collaborate with trading and operations teams to align AI models with real-time market conditions and energy pricing.
• Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts.
• Monitor the performance of AI tools and models, ensuring efficiency and effectiveness.

Requirements

• Minimum 3 years of engineering experience.
• Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning.
• Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.).
• Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production.
• Solid understanding of cloud technologies, containerisation and building scalable AI applications.
• Ability to integrate AI/ML models into real-world applications, focusing on usability and performance.

Nice to have

• Experience or strong interest in energy markets and trading strategies.
• Understanding of weather forecasting, energy demand patterns, and production modelling.
• Exposure to Natural Language Processing (NLP) or other related fields.

Culture & Benefits

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