AI Engineer

• Fine-tune and train LLMs using extensive datasets of input and existing output data to continually improve accuracy, speed, and cost-efficiency.
• Design and implement improvements to the existing API service, focusing on performance, scalability, and reliability.
• Manage the end-to-end lifecycle of the AI models, including data preprocessing, training, evaluation, deployment, and monitoring.
• Work with models deployed in various environments, including self-hosted Docker containers and cloud-based services like AWS Bedrock or Azure OpenAI.
• Collaborate with software engineers to ensure the AI components are seamlessly integrated into our microservices architecture and meet the required service-level objectives.
• Troubleshoot and resolve issues related to model performance, data parsing accuracy, and the API's operational health.

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