Top Remote Artificial Intelligence Software Engineer Jobs

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.

The role involves leading the development of a high-performance Web SDK for fraud detection and risk management, implementing algorithms for device fingerprinting, and ensuring security and performance optimization.

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.

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.

The role involves architecting and implementing production-scale retrieval-augmented generation systems, focusing on document retrieval and contextual response generation in healthcare. Responsibilities include developing APIs, optimizing workflows, ensuring security and compliance, and collaborating with data engineers on retrieval quality.

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.

Lead a team in delivering alerting, analytics, and reporting services for a healthcare platform, ensuring integration, troubleshooting, and support of complex workflows.