About Arbor
We're revolutionizing the $500B+ building materials and home improvement industry through AI-powered automation. We're building intelligent agent workflows that transform how businesses manage operations, optimize supply chains, and create resilient marketplaces. This is your chance to join at the ground floor and shape the future of an entire industry.
The Role
We're seeking a Senior AI Engineer who thrives on building production-ready AI agent systems from scratch. You'll architect and implement autonomous workflows that handle complex operational challenges in supply chain, inventory management, and demand forecasting. This is a hands-on role where you'll write code daily, ship features weekly, and see immediate impact on real business operations.
What You'll Build
- Autonomous AI Agents : Design and deploy multi-agent systems for supply chain optimization, automated procurement, and intelligent inventory management
- Production LLM Systems : Build robust, scalable applications using GPT-4, Claude, and open-source models with RAG, fine-tuning, and agent orchestration
- Real-time Decision Systems : Create AI workflows that make thousands of operational decisions daily - from demand forecasting to dynamic pricing to supplier selection
- End-to-End Ownership : Take features from ideation to production, including system architecture, implementation, deployment, and monitoring
Core Responsibilities
Ship Fast, Ship Often : Deploy production code within your first week; own features from concept to customerBuild Agent Orchestration : Develop multi-step reasoning systems using LangChain, AutoGPT patterns, and custom agent frameworksScale AI Infrastructure : Optimize for sub-second response times while handling millions of daily transactionsPioneer Solutions : Solve novel problems in supply chain AI that haven't been tackled beforeSet Technical Direction : Make architectural decisions that will define our platform for years to comeWho You Are
Must-Haves
5+ years building ML / AI systems in production (not just research or POCs)Deep LLM expertise : You've built and deployed multiple LLM applications handling real trafficStartup DNA : Comfortable with ambiguity, rapid iteration, and wearing multiple hatsBuilder mentality : You'd rather ship an 80% solution today than a perfect one next monthTechnical excellence : Strong Python, experience with vector databases, and production ML opsYou'll Excel If You Have
Experience with agent frameworks (LangChain, AutoGen, CrewAI)Background in operations research, supply chain, or logisticsTrack record of 0-to-1 product building at early-stage startupsExperience with real-time systems and event-driven architecturesContributions to open-source AI / ML projectsTech Stack
Core : Python, FastAPI, PostgreSQL, RedisAI / ML : OpenAI, Anthropic, LangChain, Pinecone / Weaviate, Hugging FaceInfrastructure : AWS / GCP, Docker, Kubernetes, TerraformMonitoring : Datadog, Weights & Biases, custom observability toolsWhy This Role Is Different
Immediate Impact : Your code will affect millions in transactions within weeksTechnical Ownership : No layers of management - you decide, you build, you shipIndustry Transformation : Apply cutting-edge AI to a massive industry that's ripe for disruptionRapid Growth : Join as employee #[X] with significant equity upsideWorld-class Team : Work directly with founders from [relevant backgrounds]