AI Engineer - Multi Agent Systems & CompanyOS

About VORTO Vorto is on a mission to increase sustainability and create more jobs by making supply chains more efficient across the entire value chain. Through powerful AI technology, Vorto's autonomous supply chain platform seeks to reduce carbon emissions caused by supply chain transportation, improve the lives of approximately 3.5 million truck drivers and create more jobs across all players in B2B transactions. We operate in a very fast-paced and nimble environment that is highly focused on a team-first, accomplishment-oriented culture that is passionate about the organization's success. Our products have been developed by a world-class engineering team that simplifies complex business problems to a degree where adoption is effortless. We encourage you to visit our careers page and read this blog post to learn more about our culture. What You’ll Do Architect and implement the CompanyOS: a cross-functional multi-agent system that automates workflows across Tech, Product, Ops, Finance, and HR Design agent communication protocols using Redis Streams, pub/sub, or orchestration frameworks like LangGraph Build agents that self-organize: plan tasks, delegate subtasks, adapt workflows, and learn over time Implement persistent memory and context awareness so each agent understands long-term goals and interactions Enable task auditing, failure recovery, and cross-agent coordination at scale Optimize for extensibility and modularity so new departments, tools, and workflows plug in seamlessly Multi-Agent System Responsibilities You’ll lead the foundation of a deeply intelligent coordination layer across an entire company: Design a system where agents collaborate, not just execute; sharing intent, context, and task ownership Build a reusable architecture that supports multi-step, multi-agent workflows with visibility and logging Implement memory features that help agents recall past tasks, organizational goals, and role-specific nuances Create fallback logic when agent plans fail. Gracefully reassign, retry, or escalate Continuously improve agent behavior via feedback loops and workflow optimization Technologies You Might Use Agent Frameworks: LangChain, LangGraph, CrewAI, AutoGen, custom orchestration logic Infrastructure: Python, Redis Streams, event buses, Docker, Postgres Memory: Pinecone, Weaviate, Supabase, custom memory layers Voice (bonus): Whisper, Google Speech-to-Text, Twilio You Might Be a Fit If You Have 3-5 years of backend or systems engineering experience, especially with AI/LLM systems Have built or deployed multi-agent workflows that go beyond basic automation Are fluent in Python and familiar with frameworks like LangChain or LangGraph Understand how to build resilient, auditable systems that span business functions Are excited by the idea of agents that think, coordinate, and improve not just execute Bonus: you’ve worked on voice-enabled systems or conversational AI platforms Benefits At VORTO we are committed to developing our employees and providing them exciting opportunities to grow and prosper in their careers. We encourage you to visit our careers page and read this blog post to learn more about our culture. We offer a competitive benefits package as well as numerous additional perks including: Competitive compensation package Health, Dental and Vision Insurance 401k with matching Company paid life and short-term disability insurance Company paid parking or transit pass Relocation offered when applicable Modern office space in downtown Denver Daily coffee, tea, drinks & snacks Team happy hours VORTO is an Equal Opportunity Employer. This position will be posted until a qualified candidate is hired. Disclaimer: This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned. J-18808-Ljbffr