Top Python Jobs in Wichita, KS

As a Senior Prompt Engineer, you will design, refine, and implement AI prompts to optimize performance of large language models. Collaborating with engineers and AI researchers, you will enhance automation capabilities and deliver scalable AI-driven solutions. Your role involves evaluating prompt outputs, discovering new techniques, and developing internal tools.

The Staff Engineer will develop and manage SaaS solutions for dealerships and lending, including gathering requirements, designing microservices, and optimizing cloud architectures for performance and security. Responsibilities also include coaching engineers and being part of a DevOps culture to maintain solution availability.

The Full Stack Python Developer will collaborate with project delivery staff to design and implement features for energy efficiency programs. Responsibilities include writing secure Django-based code, managing version control with Git, ensuring data privacy, and documenting code effectively.

The Backend Engineer will design and implement scalable backend services for Archive's platform, focusing on resale intelligence. Responsibilities include developing tools for item identification, customer order fulfillment, and providing analytical support for brand initiatives.

The Senior Software Engineer will design and develop applications using JavaScript (Node.js), TypeScript, Python, and manage API integrations. They will own their tasks from definition to deployment while ensuring scalability and security best practices, collaborating with diverse engineering teams, and adapting to changing priorities in a startup environment.

The Sensing Solutions Architect is responsible for bridging product development, pre-sales, and delivery by facilitating demonstrations, prototyping, and supporting client presentations throughout the sales cycle. Role includes defining customer requirements, working with sales teams, and participating in engineering activities.

The Lead Data Engineer / Full Stack Engineer will design and build data engineering solutions, create data pipelines, enhance data quality, and support the development of dashboards and visualizations. The role requires expertise in AWS stack, SQL, and big data technologies to facilitate efficient healthcare data management and reporting.