Top Remote Senior Level QA Engineer Jobs in Houston, TX

As a Staff Software Engineer on the AI Infrastructure team, you will develop scalable solutions for financial operations, define architectural strategies, and lead initiatives that enhance the impact of AI in fintech for small and mid-sized businesses. You will also oversee the deployment of machine learning models while collaborating across functions.

The Technical Lead is responsible for analyzing data needs, supporting system databases, SQL development, and ensuring system reliability. They will develop and modify software applications, mentor software developers, and optimize operational efficiency in civic tech projects within the federal government.

The Principal Architect, Data Solutions at Zencore will collaborate with clients to understand their technical challenges, develop cloud technology solutions, lead project teams, and mentor engineers, ensuring end-to-end project delivery and strategic guidance.

The Senior Software Engineer at APrime will lead initiatives to enhance engineering productivity through platform improvements, collaborate on cloud infrastructure projects, develop maintainable code, and architect cloud-based solutions with minimal guidance.

As a Staff Software Engineer, you will design, develop, and maintain software applications that process large amounts of data. Collaborate with cross-functional teams, optimize data models, implement data quality checks, and mentor junior engineers, while also resolving software and data issues using big data and cloud technologies.

The Senior Software Engineer will guide technical solutions, oversee software system design and architecture for reliability and scalability, solve technical challenges, mentor junior engineers, and collaborate with cross-functional teams for product development.

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.