Top Artificial Intelligence Software Engineer Jobs in St. Louis, MO

Design, develop, and maintain software in a Java environment. Collaborate with cross-functional teams, troubleshoot complex issues, and optimize performance.

The VP of Engineering will scale the engineering organization, architect systems for growth, lead AI-driven innovations, and align engineering with business priorities.

Migrate and optimize data workloads, develop ETL/ELT pipelines, build datasets for analytics, and support BI tools while ensuring data quality and collaborating with teams.

As a Core Protocol Engineer, you will extend the EVM, implement precompiles, optimize transaction processing, and contribute to core protocol developments and research.

Lead development of AI-powered full-stack applications, mentor engineers, define technical direction, build performant front-end and scalable backend services, integrate LLMs/RAG, and establish engineering best practices for production AI workflows.

Design and build performance-critical components in C++. Require expertise in multithreaded systems, CI/CD pipelines, and GTK integration, as well as Python scripting.

The Senior Software Engineer will design, develop, and maintain backend applications and systems, mentor junior engineers, and engage with stakeholders to deliver quality solutions.

Develop scalable applications for an AI-driven Talent Intelligence Platform, focusing on both front-end and back-end development, while integrating AI features.

The Software Integration Engineer will design and maintain system integrations, build open-source SDKs, engage with developers, and collaborate on solutions for mission needs.

The role involves implementing high-performance networking systems, optimizing bandwidth, and debugging network desyncs for multiplayer environments in Unity.