Applied AI Engineer
Fuse Energy
Posted 30+ days ago
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Experience
3 - 6 Years
Job Location
Education
Bachelor of Technology/Engineering(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
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
Desired Candidate Profile
- 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
- Competitive salary and an equity sign-on bonus
- Biannual bonus scheme
- Fully expensed tech to match your needs
- Paid annual leave
- Breakfast and dinner for office based employees
Company Industry
Department / Functional Area
Keywords
- Applied AI Engineer
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