Top Senior Level Artificial Intelligence Software Engineer Jobs in Kansas City, MO

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

The Senior Full Stack Developer will build end-to-end solutions, collaborate in a remote environment, and write technical documentation. The role requires expertise in Ruby on Rails and various programming paradigms.

The Optimization Engineer will lead the development of optimization platforms using real-time data and asset intelligence to make automated market decisions while enabling collaboration between teams for operational excellence.

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.

The Senior Full Stack Engineer will develop scalable web applications using Python and React.js, mentor team members, and enhance system performance while leveraging AI technologies. The role emphasizes collaboration, end-to-end feature ownership, and architectural improvements in a remote setting.

As a Senior Solutions Engineer for Zoom Phone, you'll design telephony solutions for enterprises, collaborate with teams, and influence product development. You'll leverage your technical expertise and customer insights to enhance communication strategies and support growth.

Looking for senior engineering leaders with ownership experience in high growth startup or tech companies for multiple portfolio companies.

Own the frontend architecture for the member-facing product, ensuring high-quality interfaces, performance, and innovative AI integration.

Develop consumer-centric web applications, enhance usability, collaborate with designers, implement backend software and APIs, write tested code, and follow agile development cycles.

The Senior/Principal Performance Engineer will lead system and application performance across products, optimize workloads, enhance CI/CD pipelines, and integrate AI tools while collaborating across teams to ensure top-tier performance outcomes.