AI Application Developer

Univers provides the worlds most comprehensive decarbonization system and the global leader for AI in Energy.

We help companies and countries optimize energy systems and reduce carbon emissions with accurate, reliable, and actionable decarbonization data. Our EnOS (Energy and Environment Operating System) platform connects on-the-ground operational technology and in-the-cloud intelligence to deliver real-time energy data and data-driven carbon monitoring, reporting, and abatement.Our EnOS platform empowers enterprises across industries to solve complex energy challenges with intelligent, data-driven insights.

With 280 million devices connected, 788GW of renewables managed, and a global network of 1,200+ customers, we are the only global technology partner offering a truly comprehensive, end-to-end energy management solution, supporting enterprises at every stage of their energy transition journey.

For more information, please visit https://univers.com/

The Role: We&aposre looking for a proactive and creative AI Application Developer to join our mission. You will be key in identifying opportunities within the Smart Building domain and leveraging Large Language Models (LLMs), potentially Reinforcement Learning (RL), and software engineering skills to design and build groundbreaking AI solutions. If you&aposre passionate about shaping the future of buildings with AI, this role is for you.

Key Responsibilities:

• Translate Needs: Understand unique challenges and opportunities in the Smart Building sector and translate them into viable AI solution concepts.
• Develop & Deploy: Build, test, and deploy robust AI-driven applications (utilizing LLMs, exploring RL) specifically tailored for building operations, energy management, user experience, or related areas.
• Integrate: Ensure seamless integration of AI features with existing building management systems (BMS), IoT platforms, and other relevant technologies.
• Innovate & Collaborate: Stay current with AI advancements, experiment with new approaches, and work closely with building experts.

Qualifications:

• Proven experience in software development (Python strongly preferred).
• Hands-on experience applying Large Language Models (LLMs) via APIs, Prompt Engineering, RAG, etc. Basic understanding of Reinforcement Learning (RL) is a plus.
• Strong problem-solving skills and the ability to connect business needs (ideally within the building, IoT, or energy sectors) to technical AI solutions.
• Excellent communication and teamwork abilities.
• Self-driven with a passion for AI and innovation in the Smart Building space.