Senior AI Engineer

<h3>📋 Description</h3> • As a Senior AI Engineer at Cambium Carbon, you’ll help lead the integration of AI and machine learning across both our external products and internal operations. • You’ll prototype and validate applied AI use cases—from forecasting and summarization to generative UI and semantic search—collaborating closely with software engineers to bring those prototypes to production. • In parallel, you’ll play a central role in helping Cambium become an AI-native organization: enabling teammates across departments to adopt and benefit from AI tooling, building lightweight internal apps, and leading training and implementation initiatives. • This role is ideal for someone with deep expertise in ML and LLMs, who is excited by both the hands-on design of AI systems and the human impact of AI inside a growing startup. <h3>🎯 Requirements</h3> • 4-5+ years of professional experience working on applied AI/ML problems, with demonstrated expertise in prototyping and deploying models and workflows. • Experience working with or integrating LLMs and associated tooling (e.g., OpenAI APIs, Hugging Face, LangChain / LangGraph, Pinecone, Weaviate, etc.). • Experience building and deploying high performance deep-learning models using either Tensorflow or PyTorch on significant complexity industrial/commercial datasets. • Ability to scope and deliver end-to-end AI prototypes, with strong intuitions around data prep, prompt engineering, fine-tuning, and evaluation. • Experience with AI SDKs and building enterprise-grade systems utilizing different AI technologies and providers. • A strong understanding of ML fundamentals and real-world constraints—model choice, latency, interpretability, privacy, failure modes, etc. • Skilled at distilling technical topics to non-technical stakeholders and leading effective enablement efforts (training, documentation, tool handoffs). • Highly collaborative: thrives in multi-stakeholder environments and knows how to bridge product, engineering, and operations through AI. • Bonus experience: intelligent agent frameworks, geospatial AI, sustainability tech, or ML applications in supply chains or logistics. <h3>🏖️ Benefits</h3> • Equity options package • Unlimited PTO and flexible schedule • 401k matching • Comprehensive medical, dental & vision insurance • Work with an incredibly smart, diverse, climate mission-driven team • An opportunity to play a core role in defining our fast-growing company • Volunteer tree planting days