As an AI Engineer at AutoZone

You will play a crucial role in building and shaping the future of our organization. You will work alongside a talented team of AI and data professionals, utilizing advanced techniques in generative AI, LLMs, machine learning, and cloud platforms to streamline, automate, and optimize our operations. If you are passionate about solving complex problems, collaborating with others, and driving growth through innovation, we encourage you to apply and join our team at AutoZone.

What You Will Do

• Lead the implementation of Generative AI products, driving the successful launch of the first version to market and ensuring its alignment with the company's goals and vision.
• Train, fine tune, and deploy LLM solutions on our expansive proprietary data.
• Develop and implement RAG-based chatbots, utilizing advanced techniques like query re-writing, efficient retrieval and re-ranking.
• Work with stakeholders throughout the organization to identify opportunities for leveraging AI to improve business processes.
• Collaborate cross functionally to deploy AI solutions and monitor outcomes.
• Provide mentorship and guidance to the team, fostering their professional growth and enhancing overall team performance.

What We Look For

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Typically requires minimum of 7 to 10 years of experience with a strong focus on Information Retrieval, Large Language Models, NLP & NLU and Graph Neural Networks.
• Hands-on experience with both traditional keyword-based search technologies as well as modern search paradigm utilizing vector-based retrieval algorithms and search systems such as Elasticsearch or Solr.
• In-depth knowledge and experience with machine learning systems in production, particularly in the NLP/LLM field. Used LLM beyond hobbies. Had experiences in model fine-tuning and/or reward learning.
• Excellent programming skills with two or more of the following languages – Python, Java, TypeScript/Node & React.
• Familiarity with at least one major cloud platforms – GCP or Azure preferred.
• Self-driven and highly motivated to take ownership of projects and drive them to completion.
• Strong analytical and problem-solving skills, coupled with an unwavering attention to detail.
• A strong advocate of clean code.