Copilot & Viva AI Engineer at the Federal Reserve Bank designing and implementing IT engineering solutions. Collaborating with teams to deploy Microsoft Copilot and manage AI initiatives.
About the role
- Applied AI Engineer creating AI-powered features and tools to enhance the energy experience at Fuse Energy. Involved in consumer-focused projects and internal collaboration to boost productivity.
Responsibilities
- Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
- Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
- Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
- Collaborate with the trading and operations teams to ensure AI models are aligned 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
- Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
- Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
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
- Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
- Experience working with large datasets, particularly in relation to demand and supply forecasting
- **Bonus**
- 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
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
Job title
Job type
Experience level
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Degree requirement
Tech skills
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