Senior Applied AI Engineer - Remote

Responsibilities

• Own end-to-end delivery of production AI and ML systems from experimentation to deployment.
• Train, fine-tune, and optimize machine learning models, including LLMs and open-weight models.
• Build and maintain training, data processing, and inference pipelines.
• Improve model performance across accuracy, latency, reliability, and cost.
• Implement MLOps best practices for deployment, monitoring, CI/CD, and automated retraining.
• Develop evaluation frameworks, benchmark datasets, and quality checks for production models.
• Design and maintain scalable APIs and services that expose AI capabilities.
• Collaborate with Product, Backend, and Frontend teams to integrate AI into customer-facing workflows.
• Monitor production systems and continuously improve model and infrastructure performance.
• Research and evaluate emerging AI techniques, tools, and frameworks.

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