Top Artificial Intelligence Software Engineer Jobs

Own the delivery and performance of Godot-based educational games across platforms including iOS, Android, ChromeOS, web, and desktop. Responsibilities include platform abstraction, lifecycle management, native integrations, profiling, optimization, build and release automation, device testing, and mentoring engineers. The role requires deep platform expertise, production software experience, and ownership of packaging, signing, distribution, and platform-specific performance.

Leads a team developing and operating foundational cloud platform services for Lambda’s multi-region GPU infrastructure. Responsibilities include Kubernetes platform evolution, distributed systems architecture, reliability, observability, automation, incident response, technical roadmap ownership, project delivery, hiring, and team development. The role partners across compute, networking, storage, security, and customer-facing teams to deliver resilient cloud products.

Provides technical leadership for the 340BCheck healthcare data platform. Designs architecture across front-end, back-end, data, infrastructure, and CI/CD; resolves complex distributed-systems problems; drives refactoring, observability, and cross-team initiatives; mentors senior engineers; communicates technical tradeoffs; and influences long-term engineering direction without direct people management.

Technical lead for the Thomas Salesforce org, owning platform architecture, integrations, CPQ, contracts, code quality, CI/CD, incident resolution, and SOX controls. The role writes and reviews Apex, LWC, and Flow, guides technical direction, leads agile ceremonies, mentors developers and admins, manages delivery standards for contractors, and partners with Sales, Finance, Marketing, IT, and Operations to maintain a reliable Salesforce platform.

Build and operate end-to-end web application features using Python/Django and React. Manage CI/CD with GitHub Actions, deploy AWS infrastructure through Terraform, and participate in on-call support. Collaborate directly with customers and internal operations to turn feedback into product improvements. Contribute to technical planning, code reviews, refactoring, and feature ownership from conception through post-launch support.

Lead architecture and hands-on development for a cloud-native Azure connected-vehicle telematics platform. Build backend services, APIs, event-driven processing, and data-intensive applications while establishing engineering standards, mentoring engineers, and optimizing platform reliability, security, performance, observability, and cost. Partner with embedded engineering, product, and technical leadership teams to translate requirements into scalable solutions and deliver effectively.

Build and operate scalable, secure, production-ready software for federal environments, including cloud, GovCloud, and air-gapped networks. Responsibilities include designing distributed systems, maintaining containers and CI/CD pipelines, debugging production issues, supporting accreditation, implementing observability and automated testing, collaborating with Product and AI engineers, and mentoring teammates. The role requires strong Python, database, API, Kubernetes, distributed systems, and security-focused engineering experience.

Build and ship full-stack sports performance software across React Native, React, AWS, mobile, and web platforms. Develop iPad and mobile applications, web dashboards, data visualizations, device integrations, and third-party APIs. Collaborate with athletes, coaches, product, design, embedded, and data science teams to translate tactile data into product features. Support Bluetooth device communication, cloud services, testing, deployment, and shared design systems while traveling to customer teams for product testing.

Lead the architecture and development of global-scale network automation software for AI data centers. Design distributed services in Python or Go, establish engineering standards, build telemetry and observability systems, automate network operations, and apply AI/ML to anomaly detection and troubleshooting. Partner across engineering and security teams, ensure safe production changes, lead incident reviews, set technical direction, and mentor senior engineers.

Develop and maintain full-stack applications using Vue 3, Nuxt, JavaScript, Node.js, Firebase, Firestore, and Google Cloud Platform. Build APIs, microservices, integrations with AI and marketing platforms, payment systems, and cloud services. Troubleshoot UI, database, deployment, and API issues; write tests; and collaborate remotely with the CTO and development team. This is a part-time, equity-based startup opportunity requiring approximately 20 hours weekly.