LLM Engineer

Straive is seeking an LLM Engineer to design, develop, and deploy large language model applications. The role involves integrating LLMs into existing platforms, optimizing performance, and staying updated with AI advancements. The ideal candidate has experience with GPT, BERT, Python, and cloud platforms.

• Design, develop, and deploy large language model-based applications and services.
• Collaborate with cross-functional teams to integrate LLM technologies into existing platforms.
• Research and implement state-of-the-art natural language processing techniques.
• Optimize model performance for accuracy, speed, and scalability.
• Conduct thorough testing and validation of language models to ensure quality and reliability.
• Stay updated with the latest advancements in LLMs and AI to incorporate best practices.
• Provide technical guidance and support to team members on LLM-related projects.

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
• Proven experience working with large language models such as GPT, BERT, or similar frameworks.
• Strong programming skills in Python and familiarity with ML libraries like TensorFlow or PyTorch.
• Deep understanding of natural language processing concepts and techniques.
• Experience with model deployment in cloud environments such as AWS, Azure, or GCP.
• Ability to analyze and improve model performance using appropriate evaluation metrics.
• Excellent problem-solving skills and the ability to work effectively in a team-oriented environment.