Gen AI Developer | FTE - USC & GC Only

$120,000 - $125,000/Yr

Braintree Technology Solutions - Allen, TX

Full-time - Mid Level

Allen, TX

Professional, Scientific, and Technical Services

About the position

As a Gen AI Developer at Braintree Technology, you will play a pivotal role in designing, developing, and deploying advanced chatbots and virtual assistants utilizing Large Language Models (LLMs) such as GPT and BERT. This full-time position is based in Allen, TX, and offers a competitive salary of $125,000 per annum along with a comprehensive benefits package. Your primary focus will be on creating sophisticated AI-driven solutions that enhance user interaction and automate business processes. In this role, you will be responsible for prompt engineering, where you will create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications. You will also implement reinforcement learning techniques to improve the adaptability and decision-making capabilities of these systems. Your expertise in data classification will be crucial as you develop algorithms to categorize and structure large volumes of text data, ensuring accurate processing and analysis. Collaboration is key in this position, as you will work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI solutions. You will conduct rigorous testing and evaluation of LLM-based models to ensure their accuracy, reliability, and scalability. Additionally, maintaining comprehensive documentation of models, processes, and workflows will be essential for transparency and knowledge transfer. Staying updated on the latest advancements in LLMs, NLP, and AI will be part of your continuous learning journey, allowing you to innovate and improve within your role.

Responsibilities

• Design, develop, and deploy sophisticated chatbots and virtual assistants using Large Language Models (LLMs) like GPT, BERT, or similar frameworks.
• Create, optimize, and fine-tune prompts to achieve desired outcomes in LLM-based applications, enhancing model performance and response accuracy.
• Implement reinforcement learning techniques to improve LLM-based systems, enabling adaptive learning and better decision-making.
• Develop and apply data classification algorithms using LLMs to categorize and structure large volumes of text data, ensuring accurate data processing and analysis.
• Design and implement workflows that integrate LLMs into various business processes, enhancing automation and efficiency.
• Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.
• Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI-driven solutions.
• Conduct rigorous testing, validation, and evaluation of LLM-based models to ensure accuracy, reliability, and scalability.
• Maintain comprehensive documentation of models, processes, and workflows, ensuring transparency and ease of knowledge transfer.
• Stay updated on the latest advancements in LLMs, NLP, and AI, and apply this knowledge to continuously improve and innovate within the role.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven experience in developing chatbots and conversational AI using LLMs.
• Strong expertise in prompt engineering and optimization for LLM-based applications.
• Experience with reinforcement learning techniques and their application in LLMs.
• Proficiency in data classification methods using LLMs and NLP techniques.
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or similar.
• Excellent problem-solving skills and the ability to work independently or as part of a team.
• Strong programming skills in Python, JavaScript, or other relevant languages.
• Ability to communicate complex technical concepts effectively to both technical and non-technical stakeholders.

Nice-to-haves

• Experience in help desk support for at least 1 year.
• Familiarity with Windows operating systems for at least 1 year.

Benefits

• Competitive salary of $125,000 per annum.
• Comprehensive benefits package.