Applied AI Engineer
Core
Design, develop, and deploy AI-powered features for consumer energy experiences and internal operational tools.
Role type
Applied AI Engineer (Backend-focused)
Builds
Consumer-facing AI features (Energy Co-Pilot, onboarding) and internal productivity tools
Domain
Renewable energy, power trading, distributed energy systems
Deliverable
production ML models | product features
Required skills
Python, LLM/VLM deployment, cloud technologies, containerisation, large-scale model integration, demand/supply forecasting
Preferred skills
Energy markets knowledge, weather forecasting, NLP
Technologies
TensorFlow, Pytorch
Responsibilities
Design and deploy AI features for consumer experiences; Build and optimise internal AI tools for automation; Collaborate on integrating AI features into platforms; Align AI models with real-time market conditions; Improve AI models for trading strategy optimization; Monitor AI tool performance
Seniority
Mid-level, hands-on IC
