Senior ai engineer

4 weeks ago

Bangalore, India Arbor Full time

About Arbor We're revolutionizing the $500 B+ 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 customer Build Agent Orchestration : Develop multi-step reasoning systems using Lang Chain, Auto GPT patterns, and custom agent frameworks Scale AI Infrastructure : Optimize for sub-second response times while handling millions of daily transactions Pioneer Solutions : Solve novel problems in supply chain AI that haven't been tackled before Set Technical Direction : Make architectural decisions that will define our platform for years to come Who 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 traffic Startup DNA : Comfortable with ambiguity, rapid iteration, and wearing multiple hats Builder mentality : You'd rather ship an 80% solution today than a perfect one next month Technical excellence : Strong Python, experience with vector databases, and production ML ops You'll Excel If You Have Experience with agent frameworks (Lang Chain, Auto Gen, Crew AI) Background in operations research, supply chain, or logistics Track record of 0-to-1 product building at early-stage startups Experience with real-time systems and event-driven architectures Contributions to open-source AI/ML projects Tech Stack Core : Python, Fast API, Postgre SQL, Redis AI/ML : Open AI, Anthropic, Lang Chain, Pinecone/Weaviate, Hugging Face Infrastructure : AWS/GCP, Docker, Kubernetes, Terraform Monitoring : Datadog, Weights & Biases, custom observability tools Why This Role Is Different Immediate Impact : Your code will affect millions in transactions within weeks Technical Ownership : No layers of management - you decide, you build, you ship Industry Transformation : Apply cutting-edge AI to a massive industry that's ripe for disruption Rapid Growth : Join as employee #(X) with significant equity upside World-class Team : Work directly with founders from (relevant backgrounds)

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