Senior AI Engineer

• 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

What you ll do

• 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

What will help you succeed

• 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

Benefits

• 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