Senior AI Engineer

Description

Eliminating carbon footprints, eliminating carbon copies.

• Build robust, automated data pipelines and ML Ops workflows for continuous training and deployment.
• Deploy and optimize models for large-scale production workloads using Python-based services in AWS/Kubernetes environments.
• Design and train ML/AI models (forecasting, NLP, graph learning, generative AI) to improve data quality, cost effectiveness, and system scalability
• 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
• Integrate with LLMs and be an expert in prompt engineering to derive the right results from the models with limited hallucination
• Drive performance improvements in model accuracy, latency, and cost efficiency.
• Research and experiment with modern AI methods (transformers, foundation models, reinforcement learning) and adapt them to energy-sector challenges not limited to utility statements.
• Collaborate with Product, SRE, and Analytics teams to deliver AI-enabled features across Arcadia’s platform.

Requirements

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.

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

• 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
• Experience deploying ML models in production with CI/CD.
• 12+ years of professional software engineering experience, with 3+ years in AI/ML development.
• A deep technical expert in machine learning and AI, especially in production environments.
• Proficiency with SQL, cloud services (AWS), containers (Docker, Kubernetes), and distributed systems.
• A strong collaborator with Product, Data, and Infrastructure teams.
• Comfortable taking ambiguous, large-scale problems and translating them into scalable AI solutions.
• Strong expertise in Python, PyTorch/TensorFlow, scikit-learn, and ML tooling (MLflow, LangChain).
• Strong analytical skills, ability to balance speed and rigor in experimentation.
• Understanding of modern AI research (LLMs, diffusion models, transformers).

Benefits

• Comprehensive medical insurance (self + family members)
• Annual performance cycle + quarterly recognition awards
• Flexible leave policy
• Competitive compensation and employee stock options
• Hybrid/remote-first working model (India-based role, with global collaboration)

Training + Development

Interview process

Visa Sponsorship

Security clearance