Sr AI Engineer

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.

About the Role

Are you ready to join a dynamic software engineering team dedicated to disrupting the status quo? If you’re seeking a fulfilling challenge, our AI Engineer role is designed for you!

In this entrepreneurial and highly collaborative role, you’ll design and build intelligent systems that fuel the VORTO platform. You’ll spend approximately 70% of your time engineering and 30% building and integrating advanced ML/AI models. You'll work with Go, TensorFlow, PostgreSQL, and Google Cloud tools to build innovative, intelligent applications.

Key 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.

• Other duties as assigned.

Requirements:

• 5+ years of experience in AI/ML with a strong focus on applied AI in production environments.

• 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.

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

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.