Gen AI Engineer

Gen AI Engineer

Charlotte, NC - Locals or Nearby preffered 

The Role:

Responsibilities:

Prompt Development & Engineering:

• Design and optimize effective prompts for large language models to improve output quality for various use cases.
• Fine-tune prompt strategies for specific applications, including chatbots, content generation, and automated customer service.
• Strong expereince with Devin AI and Claude Code
• Test and iterate on different prompt approaches to ensure alignment with project goals.

Large Language Model (LLM) & Retrieval-Augmented Generation (RAG):

• Develop and fine-tune large language models like GPT, Gemini, Langchain, and Llama for specific business needs.
• Implement RAG techniques to improve model outputs by integrating external knowledge from retrieval systems.
• Leverage GraphRAG to enhance complex knowledge retrieval and graph-based data representation in AI models.
• Stay updated on advancements in AI/LLM technologies and recommend new tools or models to enhance the AI stack.

Collaboration & Communication:

• Work closely with product managers, software developers, and other stakeholders to align AI capabilities with business objectives.
• Communicate technical concepts and model behavior to non-technical team members in a clear and concise manner.
• Provide documentation and training to users and developers on utilizing AI models effectively.

Deployment & Monitoring:

• Deploy AI models into production environments using cloud services or on-premise infrastructures.
• Continuously monitor model performance, scaling solutions as needed, and ensuring models meet security and compliance standards.
• Troubleshoot and optimize models for speed, accuracy, and scalability in production systems.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
• Strong understanding of machine learning concepts, natural language processing (NLP), and generative AI.
• Experience with prompt development and fine-tuning large language models like GPT, Gemini, Langchain, and Llama.
• Proficiency in programming languages such as Python, with experience in AI/ML libraries (e.g., TensorFlow, PyTorch, Hugging Face).
• Knowledge of MLOps tools for model deployment and monitoring.
• Experience working with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) for model training and deployment.

Preferred Qualifications:

• Prior experience with Langchain for integrating LLMs into applications.
• Familiarity with tools and techniques for AI model interpretability and responsible AI practices.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work in a fast-paced, collaborative environment.

Preferred, but not required:

• 6+ years in Gen AI Python development.
• Proven track record of implementing AI solutions in production environments.
• Previous experience in working on projects with a strong focus on LangChain and multi-agent systems.