AI Engineer

About This Role

As an AI Engineer at Vorto, you will transform ambiguous operational problems into intelligent, automated systems for the supply chain, working across the full AI stack. This role involves both hands-on software development and advanced model development to build production systems that move billions in freight.

Responsibilities

• Fine-tune large language models (LLMs) including LLaMA, Mistral, and Falcon on proprietary datasets to enhance performance in automation and customer support workflows
• Design and deploy AI agents capable of task execution and decision-making, leveraging retrieval-augmented generation (RAG) to improve accuracy and relevance
• Integrate embedding databases (ChromaDB, FAISS) and graph-based retrieval (G-RAG) using Neo4j to boost knowledge retrieval efficiency and contextual understanding
• Optimize and deploy models using vLLM, TensorRT, and DeepSpeed for low-latency, scalable inference on Google Cloud and Kubernetes-based infrastructure
• Solve complex problems using mechanistic and statistical approaches
• Develop predictive models for commodity demand, supply forecasting, ETA predictions, and delay detection
• Optimize logistics simulations and market algorithms to improve operational efficiency

Requirements

• Experience with ML frameworks such as TensorFlow, PyTorch, or Keras
• Solid background in algorithms, optimization, neural networks, and reinforcement learning
• Proven track record of independently delivering complex engineering and ML projects
• Familiarity with path and function optimization methods including linear programming and simulation-based search techniques

Qualifications

• Advanced degree (MS/PhD preferred) in a quantitative field such as Computer Science, Applied Math, or Engineering

Skills

* Required skills

Benefits