Top Entry Level Python Jobs in St. Louis, MO

As a Backend Engineer on the LaunchDarkly AI team, you will design, build, and maintain scalable backend systems to support AI development. Responsibilities include implementing APIs, improving server performance, writing tests, and collaborating with product and design teams for new features.

As a Staff Solutions Architect, you will help customers and prospects understand the technical benefits of the Temporal platform, assist in evaluating applications for suitability, and support account executives in account planning. You will also act as a technical advisor, guiding customers through their use of Temporal's services, with a focus on distributed systems and cloud technologies.

You will design and implement data-driven solutions, create prototypes, and enhance existing products by collaborating with customers and colleagues. Responsibilities include maintaining data pipelines, driving AI model usage, and presenting findings to stakeholders.

As a Solutions Architect at Cleerly, you will provide technical support for sales and implementation, demonstrate technical expertise in Cleerly's products, and design solutions aligned with client needs. This role involves hands-on work with customers, offering best practices for Cleerly technology, and serving as a trusted technology advisor within a remote, cross-functional team.

As an AI Tutor - Coding, you will assess AI-generated code, solve coding problems, and create human-readable summaries. This role is pivotal in training and evaluating AI models while enhancing your AI skills.

As an Embedded Linux Consultant, you will engage with customers to gather requirements, propose solutions, and participate in project delivery related to Embedded Linux. You'll promote Canonical's technology while acting as a trusted advisor, ensuring customer satisfaction and advocating for their needs.

The Mobile Software Engineer at DroneDeploy will design, develop, and maintain the ground mobile app, working collaboratively with other engineers and teams to create features, solve technical problems, and integrate with hardware. The role involves utilizing advanced technologies like computer vision and machine learning.