Top Artificial Intelligence Software Engineer Jobs

Lead design and delivery of Turion's AI-first enterprise platform (Hyperdrive). Architect scalable, real-time data pipelines, APIs, and AI/LLM integrations; mentor engineers; collaborate with hardware, supply chain, and finance to automate and optimize aerospace operations.

Lead the architecture, development, and operation of a reliable orchestration platform for distributed workflows. Build workflow primitives, APIs, and infrastructure supporting scheduling, retries, state management, observability, security, scalability, and developer experience. Partner with cross-functional teams, establish engineering standards, and drive technically complex projects from design through production operation.

As a Senior Software Engineer, you will design, build, and launch new product features, tackling complex engineering challenges in a high-performance environment, while directly shaping product and business outcomes.

Join Hanover Park as a Software Engineer, focusing on AI-powered automation, full-stack development, and making technical decisions alongside the CTO in a fast-paced startup environment.

As a Sr. Software Engineer, Backend, you will develop AI-powered solutions for clinical documentation and medical coding, collaborating with cross-functional teams to enhance SaaS products and deliver actionable insights for healthcare organizations.

This role involves leading engineering teams, owning technical direction, and managing release cycles for a gaming platform, with hands-on coding and architectural responsibilities.

Build developer tooling, demos, and integrations for Runpod; produce technical content and run scalable programs (content, events, community); attend and speak at developer/AI conferences; surface product feedback and ship solutions autonomously to improve developer onboarding and platform adoption.

Lead backend engineering for cloud-native, event-driven data pipelines and customer integrations (especially EHRs). Evolve core data models and APIs, improve scalability and reliability, mentor engineers, define best practices, and drive end-to-end testing and AWS-based solutions.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Contribute to modernization and technical-debt reduction efforts, implement and test features, participate in code reviews, follow CI/CD and Agile practices, and collaborate with senior engineers while learning cloud and security practices.