Job Description
Qualifications
Proficiency in LLM development, including training and fine-tuning open-source or
proprietary models (e.g., GPT, Llama, Mistral)
Strong programming skills in Python with experience using NLP libraries like Hugging
Face Transformers, TensorFlow, or PyTorch
Hands-on experience with integrating AI solutions into existing POS and relevant retail
Excellent problem-solving and communication skills
Ability to collaborate across departments and lead AI projects
Passion for building innovative AI-powered solutions
Master s in Computer Science, Data Science, AI, or a related field
Experience in retail or e-commerce AI applications will be plus
Responsibilities
streamline processes, and deliver exceptional customer service
opportunity to lead the development and deployment of AI-powered applications that
transform both customer and employee experiences
Develop and integrate LLMs into full-stack applications, ensuring seamless operations and
optimized performance for specific business needs
Build generative AI solutions tailored to customer engagement and employee support
Train, fine-tune, and optimize LLMs to improve accuracy, performance, and alignment
with real-world retail tasks
Design and implement effective prompts to ensure accurate, contextually relevant outputs
from LLMs across various use cases
Ensure AI applications comply with ethical guidelines, prioritizing data privacy, user
consent, and responsible AI usage
Design and develop scalable system components leveraging LLMs, integrating them with
existing CRM, ERP, and e-commerce platforms
Adapt AI models using domain-specific data and techniques to enhance their effectiveness
and accuracy
Create and execute comprehensive testing plans for AI applications, optimizing for
efficiency, scalability, and reliability
Collaborate in designing and developing DevOps and MLOps pipelines for deploying,
monitoring, and maintaining AI solutions
Proactively monitor application performance, identify issues, and troubleshoot technical
incidents to ensure uninterrupted AI system operations
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Town Co., is seeking the following. Apply via Dice today!
About Us
Town Fair Tire is a leading tire retailer driving innovation in customer and employee
experiences. We are building in-house AI solutions to revolutionize the tire retail industry,
leveraging cutting-edge large language models (LLMs) to enhance our operations,
streamline processes, and deliver exceptional customer service.
We are looking for a LLM Developer to join our growing team. This role offers the
opportunity to lead the development and deployment of AI-powered applications that
transform both customer and employee experiences.
Key Responsibilities
Develop and integrate LLMs into full-stack applications, ensuring seamless operations and
optimized performance for specific business needs.
Build generative AI solutions tailored to customer engagement and employee support.
Train, fine-tune, and optimize LLMs to improve accuracy, performance, and alignment
with real-world retail tasks.
Design and implement effective prompts to ensure accurate, contextually relevant outputs
from LLMs across various use cases.
Ensure AI applications comply with ethical guidelines, prioritizing data privacy, user
consent, and responsible AI usage.
Design and develop scalable system components leveraging LLMs, integrating them with
existing CRM, ERP, and e-commerce platforms.
Adapt AI models using domain-specific data and techniques to enhance their effectiveness
and accuracy.
Create and execute comprehensive testing plans for AI applications, optimizing for
efficiency, scalability, and reliability.
Collaborate in designing and developing DevOps and MLOps pipelines for deploying,
monitoring, and maintaining AI solutions.
Proactively monitor application performance, identify issues, and troubleshoot technical
incidents to ensure uninterrupted AI system operations.
Required Qualifications
Technical Skills:
Proficiency in LLM development, including training and fine-tuning open-source or
proprietary models (e.g., GPT, Llama, Mistral).
Strong programming skills in Python with experience using NLP libraries like Hugging
Face Transformers, TensorFlow, or PyTorch.
Hands-on experience with integrating AI solutions into existing POS and relevant retail
applications.
Soft Skills:
Excellent problem-solving and communication skills.
Ability to collaborate across departments and lead AI projects.
Passion for building innovative AI-powered solutions.
Preferred Qualifications:
Master s in Computer Science, Data Science, AI, or a related field.
Experience in retail or e-commerce AI applications will be plus.
Apply Now!
If you are interested, submit your resume and portfolio to to apply
and join us and be a part of the AI revolution in the tire retail industry!
Proficiency in LLM development, including training and fine-tuning open-source or
proprietary models (e.g., GPT, Llama, Mistral)
Strong programming skills in Python with experience using NLP libraries like Hugging
Face Transformers, TensorFlow, or PyTorch
Hands-on experience with integrating AI solutions into existing POS and relevant retail
Excellent problem-solving and communication skills
Ability to collaborate across departments and lead AI projects
Passion for building innovative AI-powered solutions
Master s in Computer Science, Data Science, AI, or a related field
Experience in retail or e-commerce AI applications will be plus
Responsibilities
streamline processes, and deliver exceptional customer service
opportunity to lead the development and deployment of AI-powered applications that
transform both customer and employee experiences
Develop and integrate LLMs into full-stack applications, ensuring seamless operations and
optimized performance for specific business needs
Build generative AI solutions tailored to customer engagement and employee support
Train, fine-tune, and optimize LLMs to improve accuracy, performance, and alignment
with real-world retail tasks
Design and implement effective prompts to ensure accurate, contextually relevant outputs
from LLMs across various use cases
Ensure AI applications comply with ethical guidelines, prioritizing data privacy, user
consent, and responsible AI usage
Design and develop scalable system components leveraging LLMs, integrating them with
existing CRM, ERP, and e-commerce platforms
Adapt AI models using domain-specific data and techniques to enhance their effectiveness
and accuracy
Create and execute comprehensive testing plans for AI applications, optimizing for
efficiency, scalability, and reliability
Collaborate in designing and developing DevOps and MLOps pipelines for deploying,
monitoring, and maintaining AI solutions
Proactively monitor application performance, identify issues, and troubleshoot technical
incidents to ensure uninterrupted AI system operations
Job description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Town Co., is seeking the following. Apply via Dice today!
About Us
Town Fair Tire is a leading tire retailer driving innovation in customer and employee
experiences. We are building in-house AI solutions to revolutionize the tire retail industry,
leveraging cutting-edge large language models (LLMs) to enhance our operations,
streamline processes, and deliver exceptional customer service.
We are looking for a LLM Developer to join our growing team. This role offers the
opportunity to lead the development and deployment of AI-powered applications that
transform both customer and employee experiences.
Key Responsibilities
Develop and integrate LLMs into full-stack applications, ensuring seamless operations and
optimized performance for specific business needs.
Build generative AI solutions tailored to customer engagement and employee support.
Train, fine-tune, and optimize LLMs to improve accuracy, performance, and alignment
with real-world retail tasks.
Design and implement effective prompts to ensure accurate, contextually relevant outputs
from LLMs across various use cases.
Ensure AI applications comply with ethical guidelines, prioritizing data privacy, user
consent, and responsible AI usage.
Design and develop scalable system components leveraging LLMs, integrating them with
existing CRM, ERP, and e-commerce platforms.
Adapt AI models using domain-specific data and techniques to enhance their effectiveness
and accuracy.
Create and execute comprehensive testing plans for AI applications, optimizing for
efficiency, scalability, and reliability.
Collaborate in designing and developing DevOps and MLOps pipelines for deploying,
monitoring, and maintaining AI solutions.
Proactively monitor application performance, identify issues, and troubleshoot technical
incidents to ensure uninterrupted AI system operations.
Required Qualifications
Technical Skills:
Proficiency in LLM development, including training and fine-tuning open-source or
proprietary models (e.g., GPT, Llama, Mistral).
Strong programming skills in Python with experience using NLP libraries like Hugging
Face Transformers, TensorFlow, or PyTorch.
Hands-on experience with integrating AI solutions into existing POS and relevant retail
applications.
Soft Skills:
Excellent problem-solving and communication skills.
Ability to collaborate across departments and lead AI projects.
Passion for building innovative AI-powered solutions.
Preferred Qualifications:
Master s in Computer Science, Data Science, AI, or a related field.
Experience in retail or e-commerce AI applications will be plus.
Apply Now!
If you are interested, submit your resume and portfolio to to apply
and join us and be a part of the AI revolution in the tire retail industry!
💡 Quick Summary
Seeking a career-building opportunity? The LLM Developer (No remote/No Sponsorship) position is now open for candidates interested in the Software Developer Jobs sector. This role in East Haven offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Software Developer Jobs is a plus.
