AI Software Engineer - Energy Sector Focus
Are you an experienced AI Software Engineer looking to build intelligent scalable systems for the energy sector Our innovative team in Christchurch New Zealand is seeking a highly motivated individual to power forecasting and trading decisions.
This role combines applied AI and full-stack web development ideal for someone who enjoys working across the stack and applying data-driven intelligence to real-world energy market problems. Youll join our IoT team focusing on AI tools and features for our IoT products and projects.
Key Responsibilities:
- Design implement and train time series models for energy consumption generation and market price forecasting.
- Research and prototype AI agents for simulating and optimising energy trades.
- Develop and maintain web-based dashboards and UIs to visualise forecasts and trading activity.
- Build or extend REST APIs for serving forecasts and historical analytics.
Required Qualifications:
- At least 3 years of combined experience in software development machine learning or data science.
- Proven experience in ML topics including data engineering and time series forecasting (e.g. Prophet ARIMA XGBoost LSTM).
- Proficiency in Python (data science stack) and software development languages like Java JavaScript or Python.
- Experience with databases (relational time-series key-value) such as PostgreSQL or InfluxDB and SQL.
Bonus points for experience in the IoT field or energy sector algorithmic trading or cloud platforms. If youre a skilled AI Software Engineer ready to make a significant impact in the energy sector apply today! In return for your skills and experience you will receive:
- Competitive Salary: Performance-based pay
- Growth Opportunities: Receive tailored training and mentoring for career development.
- Extended Leave: Six weeks of annual leave.
- Flexible Work: Enjoy flexible hours and two days of work-from-home each week.
- Diverse Team: Join a collaborative team that values diversity and fresh perspectives
- Competitive Salary: Performance-based pay
- Growth Opportunities: Receive tailored training and mentoring for career development.
- Extended Leave: Six weeks of annual leave.
- Flexible Work: Enjoy flexible hours and two days of work-from-home each week.
- Diverse Team: Join a collaborative team that values diversity and fresh perspectives