Energy Exemplar
About Energy Exemplar In an era where the world is rapidly advancing towards a cleaner future through decarbonization, Energy Exemplar’s mission lies in ‘Empowering Transformative Energy Decisions’. Founded in 1999 in Adelaide, Australia, our award-winning software portfolio encompassing the modeling and simulation platform PLEXOS®, Aurora, and Adapt2, is trusted by innovative organizations across the globe. Through our technology and people, we strive to enable stakeholders from across the entire energy value chain to revolutionize the energy ecosystem and to collaboratively plan and execute for a sustainable energy future with unprecedented clarity, speed, and innovation. Our impact is global and is being recognized across the industry. Some of our recent accolades include: SaaS Company of the Year (2025) – Global Business Tech Awards. Environmental Impact Award (2025) – E+E Leaders Awards. IPPAI (Independent Power Producers Association of India) Power Awards (2025) - Winners Finalist: Platts Global Energy Awards (2024) – Grid Edge category Finalist: Reuters Global Energy Transition Awards (2024) – Technologies of Change Top 50 Marketing Team (2024) – Voted by the public at the ICON Awards. How We Work Energy Exemplar is growing fast around 30% year on year and, that growth is driven by how we work. We trust our team to deliver great results from wherever they work best, whether that’s at home, in the office, or on the move. We’re a global team that values ownership, integrity, and innovation. You’ll be supported to balance work and life in a way that works for you, and empowered to take initiative, solve problems, and make an impact, regardless of your background, location, or role. Our four core values, Customer Success, One Global Team, Integrity & Ownership, and Innovation Excellence aren’t just words. They show up in how we collaborate, how we solve, and how we grow together.
As a Senior Software Engineer - Generative AI at Energy Exemplar, you will play a key role in architecting and scaling AI-powered product capabilities across Energy Exemplar’s simulation and planning platforms. This role goes beyond feature delivery and includes designing reusable Agentic AI platforms, enabling multiple product teams to safely and consistently build AI agents aligned with energy-market domain requirements.
Architect, design and implement end-to-end Generative AI systems, including advanced RAG, and Agentic AI workflows, and multi-modal orchestration across Energy Exemplar products. Design and build Agentic AI platforms that support creation, orchestration, monitoring, evaluation, and governance of AI agents across multiple use cases and teams. Define domain-aware RAG architectures, enabling AI agents to reason over energy market rules, model inputs, constraints, and simulation outputs. Lead development of production-grade AI services using Python and/or .Net/Java, ensuring high reliability and performance for enterprise customers. Design AI data pipelines leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Storage (preferred) or equivalent services. Establish standards for prompt management, agent memory, tool invocation, evaluation metrics, observability, and cost control. Collaborate with product managers, energy domain experts, and cloud teams to align AI solutions with real customer workflows. Mentor and guide engineers on AI, backend, and full-stack design best practices. Ensure AI solutions comply with security, compliance, and responsible AI requirements relevant to critical infrastructure software. Influence technical roadmap decisions related to AI platforms and capabilities. Stay current with advancements in Agentic AI, Azure AI services, and enterprise AI architecture patterns. Qualifications, Skills & Experience 5–10 years of professional software engineering experience with strong expertise in Python and/or .Net/ Java. Proven experience delivering production Generative AI solutions, including RAG implementations, at scale. Demonstrated ability to design and build Agentic AI agents & platforms Deep understanding of LLMs, agent orchestration patterns, vector search, prompt optimization, memory strategies, and evaluation frameworks. Hands-on experience with cloud-native architecture (preferably Azure), containers, and orchestration platforms. Solid background in distributed systems, api-driven architectures, and product-scale platform design Experience leading technical design discussions and mentoring engineers. Strong debugging, performance tuning, and problem-solving skills. Excellent communication skills, capable of influencing both technical and non-technical stakeholders. Ability to balance innovation with engineering rigor and long-term maintainability. Energy Exemplar is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all team members. We welcome applications from people of all backgrounds, experiences, identities, and abilities. Please let us know if you require accommodations at any stage of the recruitment process—we're here to support you in showcasing your full potential. Energy Exemplar respects your privacy and is committed to protecting the personal data you share during the recruitment process. This Candidate Privacy Notice explains how we collect, use, and protect your personal information when you apply for a role with us.