Senior AI Engineer - Remote

Overview

Arcadia is the technology company empowering energy innovators and consumers to fight the climate crisis. Our software and APIs are revolutionizing an industry held back by outdated systems by creating unprecedented access to the data and clean energy needed to make a decarbonized grid possible.

In 2014, we set out to break the fossil fuel monopoly. Since then, we’ve connected hundreds of thousands of consumers and small businesses with high-quality clean energy options. Today, through our Arcadia platform, we empower developers and innovators to build personalized energy experiences, accelerating the transformation of the energy industry into a digital, AI-driven ecosystem.

Tackling one of the world’s biggest challenges requires bold thinking and diverse perspectives. If you’re passionate about applying AI to decarbonization at scale, we’d love to see what you’ll bring to Arcadia. Visit www.arcadia.com.

HQ: Washington, DC| $1B valuation | $500M+ capital raised since inception

In Short

• Design, build, and deploy AI and agentic systems for clean energy.
• Work on advanced machine learning and generative AI applications.
• Collaborate with Product, Data, and Infrastructure teams.
• Integrate with LLMs and specialize in prompt engineering.
• Deploy and optimize models in AWS/Kubernetes environments.
• Drive performance improvements in model accuracy and efficiency.
• Mentor junior engineers and contribute to architecture reviews.
• Research and adapt modern AI methods to energy-sector challenges.

Requirements

• 12+ years of software engineering experience, 3+ in AI/ML.
• Strong expertise in Python, PyTorch/TensorFlow, and ML tooling.
• Proficiency with SQL, AWS, Docker, Kubernetes, and distributed systems.
• Understanding of modern AI research (LLMs, transformers).
• Experience with CI/CD for deploying ML models in production.
• Strong analytical skills and a passion for sustainability.

Benefits

• Competitive compensation and employee stock options.
• Hybrid/remote-first working model with global collaboration.
• Flexible leave policy.
• Comprehensive medical insurance for self and family.
• Annual performance cycle and quarterly recognition awards.
• A supportive, diverse engineering culture.