AI Engineer
AI summary of the role
Vorto is hiring an AI Engineer to build production AI systems that automate supply chain operations.
What you’ll do
- Design and develop production level backend software used by automated agents.
- Design and deploy AI agents capable of task execution and decision-making, leveraging retrieval-augmented generation (RAG).
- Develop predictive models for commodity demand, supply forecasting, ETA predictions, and delay detection.
- Optimize logistics simulations and market algorithms to improve operational efficiency.
What you’ll bring
- Proven track record of independently delivering complex software engineering projects.
- Experience with ML frameworks such as TensorFlow, PyTorch, or Keras.
- Solid background in algorithms, optimization, neural networks, and reinforcement learning.
- Advanced degree (MS preferred) in a quantitative field such as Computer Science or Engineering.
Technologies
TensorFlow · PyTorch · Keras · RAG · retrieval-augmented generation · neural networks · reinforcement learning · optimization · algorithms
About Vorto
Vorto sells AI software that predicts demand, automates procurement and dispatch, and optimizes freight and operations for large industrial, energy, and CPG shippers.
Private Late · 200–500 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
careers page and read this blog post to learn more about our culture. Some Facts About Us: · 1+ million shipments per year · Over $1 billion of freight under management · Cashflow positive since inception · Backed by Golden Gate Capital, a Tier 1 private equity firm based in San Francisco, CA. Golden Gate has a diverse portfolio of companies with over $15 billion in committed capital. About the Role We are looking for an AI Engineer who thrives in one of the most demanding environments in technology: legacy supply chains, enterprise customers, startup speed, and chaotic real-world operations. At Vorto, AI Engineers are builder-owners who transform ambiguous, messy operational problems into intelligent, automated systems that materially change how physical goods move across America. You will work across the full AI stack — from model training and agent design to retrieval
More from the job description
About VORTO Vorto is on a mission to improve America’s Supply Chain efficiency and sustainability. Vorto uses AI technology to reduce empty miles and idle time created in matching shippers and truckers. Additionally, it deploys an agentic AI platform to automate and remove inefficiencies from all players involved in Supply Chain. This reduces carbon emission from trucks, makes products more affordable for everyday American, and improves the lives and earnings of approximately 3.5 million truck drivers in America which is the largest entrepreneurial population. We operate in a very fast-paced and nimble environment that is highly focused on a team-first, accomplishment-focused culture that is passionate about our mission’s success. Our products have been developed by a world-class engineering team that simplifies and solves complex business problems. We encourage you to visit our careers page and read this blog post to learn more about our culture. Some Facts About Us: · 1+ million shipments per year · Over $1 billion of freight under management · Cashflow positive since inception · Backed by Golden Gate Capital, a Tier 1 private equity firm based in San Francisco, CA. Golden Gate has a diverse portfolio of companies with over $15 billion in committed capital. About the Role We are looking for an AI Engineer who thrives in one of the most demanding environments in techn [... source excerpt omitted ...] ngineers are builder-owners who transform ambiguous, messy operational problems into intelligent, automated systems that materially change how physical goods move across America. You will work across the full AI stack — from model training and agent design to retrieval pipelines and high-performance inference — to architect solutions that automate decisions previously handled by entire teams. This role blends deep ML expertise with practical engineering: roughly 70% hands-on software development and 30% advanced model development and integration. Success requires 10× velocity, first-principles thinking, strong fundamentals, and the grit to solve real-world problems where data i [... source excerpt omitted ...] own outcomes end-to-end, recover fast, and build systems that scale beyond themselves. If you want to build AI that actually runs the real world — not demos, not prototypes, but production systems moving billions in freight — this is the role. Essential Duties and Responsibilities: Design and develop production level backend software used by our automated agents. Design and deploy AI agents capable of task execution and decision-making, leveraging retrieval-augmented generation (RAG) to improve accuracy and relevance. Solve complex problems using mechanistic and statistical approaches. Develop predictive models for commodity demand, supply forecasting, ETA predictions, and d
Employer postings · Data from · Sources