AI/ML Engineer, Sr.

Latitude; Miami (FL); On-site; USD 150,000 - 190,000; Full time

Job summary

Dealer Automation Technologies in Miami, FL seeks a Senior AI/ML Engineer specializing in Large Language Models to design and implement AI-driven workflows that automate product features and boost capabilities across automotive SaaS solutions.

You will work with cross-functional teams to deploy scalable, production-ready models, evaluate performance, and mentor engineers while staying at the forefront of LLM/LAM/LMM/LVLM research and secure, efficient integration.

Qualifications

• 5+ years of experience in ML/NLP with a focus on large language models.
• Graduate degree in Computer Science, Data Science, or a related field; a Master’s or PhD is preferred.
• Strong Python and ML library experience; production deployment and scaling experience.

Responsibilities

• Design, implement, and optimize LLM-driven workflows to automate product features.
• Leverage foundational models and adapt them to meet product requirements.
• Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation at scale.
• Create interpreters and agentic systems, integrating multi-hop RAG and other LLM experiences into existing systems.
• Research and evaluate emerging LLM technologies to improve product automation.
• Fine-tune models for specific use cases and production readiness.
• Develop, test, and deploy LLM-based services in production environments.
• Provide AI/ML technical leadership and mentorship to other engineers.
• Ensure LLM integrations are secure, scalable, and aligned with best practices.

Skills

LLMs

Python

NLP

Production ML

Statistics

Teamwork

Education

Master's in CS/Data Science

Tools

Transformers

Job description

About the Role

Dealer Automation Technologies is seeking a Senior AI/ML Engineer specializing in Large Language Models (LLMs) to join its team in a full-time, on-site position in Miami, FL. The role focuses on designing and implementing AI-driven workflows that use LLMs, LAMs, LMMs, LVLMs, and other foundational models to automate processes and enhance the company's products.

You will contribute to the development of scalable AI solutions, with a focus on natural language processing, machine learning, neural networks, and large language models. Working closely with cross-functional teams, you will help integrate AI/ML components into the company's software offerings, evaluate model performance, and develop production-ready solutions.

About the Company

Dealer Automation Technologies is an Information Technology Services company providing Software as a Service (SaaS) solutions for the automotive industry. The company specializes in Process Automation, Advanced Analytics, and Augmented Intelligence to improve dealership operations. With an emphasis on intuitive user experiences and modern technologies, it combines the agility of a startup with the expertise and business acumen of experienced leaders. Its operations are not dependent on legacy systems, supporting an innovative work culture.

Key Responsibilities

• Design, implement, and optimize workflows that incorporate large language models to automate and enhance product features.


• Leverage existing foundational models and adapt them to meet product requirements and business goals.


• Collaborate with product managers, data scientists, and software engineers to integrate LLM-based automation into scalable solutions.


• Create and architect interpreters and agentic systems, and integrate multi-hop RAG and other LLM experiences into existing systems to coordinate knowledge responses.


• Research and evaluate emerging LLM technologies and methodologies to improve product automation.


• Customize and fine-tune models to optimize performance for specific use cases.


• Develop, test, and deploy LLM-based services in production environments.


• Provide AI/ML technical leadership and mentorship to other engineers.


• Ensure LLM integrations are efficient, scalable, and secure while following industry best practices.

Required Qualifications

• 5+ years of experience in machine learning, NLP, or a related field, with a focus on large language models.


• Proven experience working with foundational models in production environments.


• Strong programming skills in Python and experience with relevant AI/ML libraries.


• Knowledge of statistics, machine learning concepts, and their real-world applications.


• Proven experience developing and optimizing large-scale AI/ML projects.


• Ability to design and implement scalable machine learning models in production-ready environments.


• Strong problem-solving, teamwork, and communication skills.


• Graduate degree in Computer Science, Data Science, or a related field; a Master's or PhD is preferred.

Preferred Qualifications

• Experience in the automotive or process automation industries is a plus.