Top Remote Artificial Intelligence Software Engineer Jobs

Design and maintain scalable data pipelines, ensuring accuracy and reliability. Collaborate with engineers to optimize data systems and enforce best practices.

Design and maintain geometry processing algorithms, develop services for 2D/3D data, and optimize post-training workflows for machine learning models.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

As a Staff Software Engineer, you will lead the development of Cake's AI platform infrastructure, focusing on building, operating, and improving ML systems. The role requires collaboration with customers to address ML challenges and enhance platform capabilities, emphasizing ownership and operational excellence.

As a Solutions Engineer, you'll design and implement social intelligence solutions for clients, translating AI capabilities into business value and collaborating across functions to ensure client success.

The Forward Deployed Engineer will work with customers to implement Tavily's API, design integrations, and facilitate pre-sales and post-deployment support, focusing on AI and agent architectures.

Develop and maintain Salesforce solutions, collaborate with cross-functional teams, perform code reviews, and propose new solutions based on best practices.

The Senior Software Engineer will enhance Attentive's event streaming platform, architect high-throughput systems, improve tools for product teams, and tackle complex distributed challenges. Responsibilities include collaborating on messaging systems and modernizing the architecture.

As a Machine Learning Engineer, you'll design and implement distributed systems for training large-scale ML models while optimizing performance under challenging conditions.

This role involves deploying, optimizing, and extending Spice.ai solutions in production environments, collaborating on product improvements, and working directly with customers to drive AI adoption.