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

Own and evolve billing and monetization systems to ensure accurate invoicing, reliable revenue capture, reconciliation, observability, and automation. Build plans, pricing, usage, discounts, credits, refunds, and internal tools while partnering with Finance, Support, GTM, and Product to enable scale and pricing agility.

Senior full‑stack engineer focused on .NET and UI/UX modernization for cleared federal systems. Design and build C#/.NET enterprise apps, integrate with MS SQL/Oracle, conduct user research, create wireframes/prototypes, improve workflows and usability, and collaborate across engineering, QA, and operations within secure environments.

Lead technical strategy, build and scale engineering orgs, drive execution and quality, own architecture and product-technology alignment, recruit and mentor leaders, and establish operational rigor and engineering best practices for a fast-growing AI data platform.

Lead design and implementation of user interfaces for applications, collaborating with UX designers and developers to create responsive, scalable architectures and establishing best practices.

Design, implement, and maintain scalable microservices and cloud-based systems in Python/Go; build data pipelines and online services; collaborate on security, reliability, and automation; own projects end-to-end and support testing and troubleshooting.

Lead the development of user-facing features, collaborate with team members, and mentor others while ensuring a high quality of software design and implementation.

Lead the technical direction of an engineering team, making major technical decisions, mentoring engineers, and improving technical quality through reviews and effective communication.

The role involves designing CLI and backend services, maintaining code quality, collaborating on technical issues, and writing documentation.

Lead design and reliability of a financial data extraction platform, minimizing human validation through AI, and enhance system correctness for scale.

Lead the architecture and reliability of a financial data extraction platform, reducing human validation reliance by enhancing accuracy and scalability of systems while leveraging AI-driven solutions.

This role involves developing AI-powered analytics interfaces and tools, collaborating with a skilled team to enhance customer data experiences.

The role involves leading design initiatives for Vercel's acquisition surfaces, collaborating across teams to enhance web experiences, and mentoring design engineers.