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Senior AI Engineer

Technology company empowering energy innovators and consumers to fight the climate crisis through software and APIs for clean energy solutions.
Machine Learning
Staff Software Engineer
Hybrid
501 - 1,000 Employees
12+ years of experience
AI · Enterprise SaaS · Energy

Job Description

Arcadia, a $1B-valued climate tech company headquartered in Washington, DC, is seeking a Senior AI Engineer to revolutionize the clean energy sector. This role combines cutting-edge AI development with environmental impact, focusing on building and deploying advanced machine learning and generative AI applications that expand access to renewable energy. The position requires expertise in LLMs, prompt engineering, and building agentic workflows, with a strong foundation in production ML systems. Working in a hybrid model from Chennai, India, you'll be part of a global team developing AI solutions that directly contribute to decarbonization efforts. The role offers competitive compensation, including equity, and requires 12+ years of software engineering experience with deep AI/ML expertise. You'll work with modern AI technologies including transformers, foundation models, and reinforcement learning, while collaborating across product, SRE, and analytics teams. This is an opportunity to apply technical expertise in Python, PyTorch/TensorFlow, and cloud services to create meaningful impact in the clean energy transition.

Last updated 21 hours ago

Responsibilities For Senior AI Engineer

  • Integrate with LLMs and be an expert in prompt engineering
  • Design and train ML/AI models for data quality, cost effectiveness, and system scalability
  • Deploy and optimize models for large-scale production workloads
  • Build robust, automated data pipelines and ML Ops workflows
  • Research and experiment with modern AI methods
  • Drive performance improvements in model accuracy, latency, and cost efficiency
  • Collaborate with Product, SRE, and Analytics teams
  • Write clean, maintainable code and mentor junior engineers
  • Build agentic workflows with multi-step processing

Requirements For Senior AI Engineer

Python
Kubernetes
  • 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
  • Proficiency with SQL, cloud services (AWS), containers, and distributed systems
  • Understanding of modern AI research
  • Experience deploying ML models in production with CI/CD
  • Strong analytical skills
  • Experience with building agentic pipelines

Benefits For Senior AI Engineer

Medical Insurance
Equity
  • Competitive compensation and employee stock options
  • Hybrid/remote-first working model
  • Flexible leave policy
  • Comprehensive medical insurance (self + family members)
  • Annual performance cycle + quarterly recognition awards
  • Supportive, diverse engineering culture

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