Vorto

About the Company

VORTO is a fully autonomous supply chain technology platform that uses AI to drive efficiency in demand, procurement, logistics and operations. Our mission is to enable businesses to be more economically and environmentally sustainable by digitally transforming their supply chain. At VORTO, we have a passion for pushing forward. A thirst for action. A need for speed. We’re allergic to surrender. The challenge we’ve given ourselves is to transform the trucking industry to help the largest and hardest working occupation of America (truck drivers) that are struggling to live the American dream. We’re a haven for every unstoppable team member who wants to help us achieve that vision: from engineers to accountants, to operations to developers. If you’ve never said die either…you may be one of us.

Listed Jobs

Company Name

Vorto

Job Title

Sr AI Engineer

Job Description

**Job Title:** Senior AI Engineer **Role Summary:** Design, build, and deploy intelligent systems that power a large-scale autonomous supply‑chain platform. This role blends algorithmic research, model engineering, and production system optimization to deliver high‑performance AI solutions that scale on cloud and containerised infrastructure. **Expectations:** - Allocate ~70 % of effort to core engineering (architecture, code quality, CI/CD) and ~30 % to AI/ML model development and integration. - Lead end‑to‑end delivery of complex AI projects independently, ensuring production readiness, scalability, and low‑latency inference. - Drive continuous improvement of model performance through data strategy, fine‑tuning, and efficient deployment pipelines. **Key Responsibilities:** - Fine‑tune large language models (LLaMA, Mistral, Falcon) on proprietary datasets for automation and customer‑support workflows. - Design, implement, and operationalise AI agents that execute tasks and make decisions, leveraging retrieval‑augmented generation (RAG). - Integrate embedding databases (ChromaDB, FAISS) and graph‑based retrieval systems (G‑RAG, Neo4j) to boost contextual knowledge retrieval. - Optimize and deploy models with vLLM, TensorRT, and DeepSpeed for low‑latency inference on Google Cloud and Kubernetes environments. - Develop predictive analytics for commodity demand, supply forecasting, ETA prediction, and delay detection. - Optimize logistics simulations and market‑making algorithms to enhance operational efficiency. - Apply mechanistic and statistical problem‑solving approaches to novel challenges. **Required Skills:** - 5+ years of applied AI/ML engineering in production settings. - Proficiency with TensorFlow, PyTorch, or Keras; strong grounding in neural‑network theory, reinforcement learning, and optimisation (linear programming, simulation search). - Experience fine‑tuning LLMs, building RAG pipelines, and integrating embedding/vector‑search solutions. - Familiarity with model optimisation tools (vLLM, TensorRT, DeepSpeed) and deployment on Google Cloud, Kubernetes, and container runtimes. - Strong programming skills in Go or Python; database experience with PostgreSQL. - Ability to design scalable, maintainable software architectures and CI/CD workflows. **Required Education & Certifications:** - Advanced degree (MS or PhD preferred) in Computer Science, Applied Mathematics, Engineering, or related quantitative field. ---

Denver, United states

Hybrid

Mid level

24-11-2025