Applied AI Engineer (Renewable Energy)

TL;DR

Applied AI Engineer (Renewable Energy): Designing and deploying AI-powered features to enhance consumer experiences and internal operations with an accent on automation and productivity. Focus on integrating AI models into real-world applications and optimizing trading strategies based on market conditions.

Company

Forward-thinking renewable energy startup focused on delivering a terawatt of renewable energy.

What you will do

• Design, develop and deploy AI-powered features that directly impact consumer experiences.
• Build and optimise internal AI tools to enhance workflows.
• Collaborate with backend engineers and data scientists to integrate AI-driven features.
• Ensure AI models align with real-time market conditions.
• Improve AI models to optimise trading strategies.
• Monitor the performance of AI tools and models.

Requirements

• Minimum 3 years of engineering experience.
• Proven experience as a Backend Engineer with a strong interest in applied AI.
• Strong programming skills in Python with familiarity in AI/ML libraries.
• Experience with large-scale models and deploying AI-driven solutions.
• Solid understanding of cloud technologies and scalable AI applications.
• Strong problem-solving skills in a fast-paced environment.

Nice to have

• Experience or strong interest in energy markets.
• Understanding of weather forecasting and energy demand patterns.
• Exposure to Natural Language Processing (NLP).

Benefits

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