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We 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.
Job Responsibility:
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
Requirements:
12+ years of professional software engineering experience
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
Nice to have:
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 we offer:
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)
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