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. You'll 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 you're 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
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