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 Our software and APIs are revolutionizing an industry held back by outdated systems by creating unprecedented access to the data and clean energy needed to make a decarbonized grid possible.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
What we’re looking forWe are seeking a Senior AI Engineer (L4, Individual Contributor) to design, build, and deploy AI and agentic systems that power the future of clean energy. You will work on advanced machine learning and generative AI applications that expand access to renewable energy, unlock new insights from utility data, and drive intelligent automation across the Arcadia platform.
The ideal candidate is:
- A deep technical expert in machine learning and AI, especially in production environments.
- Comfortable taking ambiguous, large-scale problems and translating them into scalable AI solutions.
- A strong collaborator with Product, Data, and Infrastructure teams.
- Passionate about using AI to accelerate the clean energy transition.
- Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
- Able to mix classic scalable systems engineering with agentic workflows
- Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
- Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
- Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments.
- Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment.
- Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements.
- Drive performance improvements in model accuracy, latency, and cost efficiency.
- Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform.
- Write clean, maintainable code, contribute to architecture reviews, and mentor junior engineers.
- Build true agentic workflows with multi-step processing incorporating RAG pipelines and MCPs
- 12+ years of professional software engineering experience, with 3+ years in AI/ML development.
- Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain).
- Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems.
- Understanding of modern AI research (LLMs, diffusion models, transformers).
- Experience deploying ML models in production with CI/CD.
- Strong analytical skills, ability to balance speed and rigor in experimentation.
- A passion for sustainability and the clean-energy mission.
- Experienced with building agentic pipelines with the latest models from Anthropic, Google, OpenAI, and more
- Competitive compensation and employee stock options
- Hybrid/remote-first working model (India-based role, with global collaboration)
- Flexible leave policy
- Comprehensive medical insurance (self + family members)
- Annual performance cycle + quarterly recognition awards
- A supportive, diverse engineering culture grounded in empathy, teamwork, and innovation
Eliminating carbon footprints, eliminating carbon copies.
Here at Arcadia, we cultivate diversity, celebrate individuality, and believe unique perspectives are key to our collective success in creating a clean energy future. Arcadia is committed to equal employment opportunities regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, protected veteran status, or any status protected by applicable federal, state, or local law. While we are currently unable to consider candidates who will require visa sponsorship, we welcome applications from all qualified candidates eligible to work in India
Thank you
