Top Artificial Intelligence Software Engineer Jobs

Design, build, deploy, and support production-grade integrations between the Blue Machines platform and client systems. Develop API, cloud, and AI/LLM integrations; collaborate with clients on deployment, debugging, and optimization; and automate, document, and monitor workflows. The role requires Python or Java backend experience, cloud expertise, web technologies, authentication protocols, AI/LLM familiarity, and strong problem-solving and communication skills.

Owns product features end to end, from user research and product decisions through interface design, backend development, data modeling, testing, and production deployment. Works directly with freight agents to identify high-impact workflow problems, ships quickly, iterates based on usage, establishes design patterns, and applies AI throughout development and the product experience.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Lead a highly technical engineering team focused on AI inference, performance, kernels, accelerators, and cloud infrastructure. Own execution, hiring, coaching, prioritization, team health, and engineering operating rhythms. Translate company priorities into technical direction, remove blockers, coordinate across teams, and maintain technical credibility while enabling senior engineers. The role requires managing at least 10 reports and partnering closely with company leadership in a rapidly scaling startup.

Operate and maintain a disconnected C3 AI Platform deployment at a secure government facility. Responsibilities include monitoring system health, responding to incidents, troubleshooting Linux and Kubernetes environments, performing offline upgrades and patches, automating operations, creating runbooks, supporting customer applications, and translating customer needs into technical enhancements. The role requires customer-facing communication, on-site work, U.S. citizenship, and an active Secret clearance.

Build and ship customer-facing fullstack features across Django/Python backend and React/TypeScript frontend. Integrate AI/LLM capabilities into product workflows, own projects end-to-end, write well-tested code, and improve deployment and development processes in a fast-moving startup.

The Software Engineer will build and own features for the AI-driven matching and screening platform, focusing on data structuring and full-stack development. Collaboration with users and maintaining high quality through testing is essential.

Develop and scale ServiceNow HAM and SAM Pro modules for cloud and SaaS asset management. Build API integrations with cloud providers, SaaS vendors, identity platforms, and procurement systems. Automate provisioning, synchronization, license reclamation, and compliance workflows using JavaScript and ServiceNow tools. Maintain Cloud CMDB alignment, troubleshoot discovery and mapping issues, configure license metrics, and create analytics dashboards supporting SaaS spend optimization and FinOps initiatives.

Work as an early, client-facing full-stack engineer to gather ambiguous customer requirements, architect solutions, and ship production-ready features spanning frontend, backend, APIs, and data integrations.

Serve as the company’s first technical hire and founding engineer for Larder, a remote-first professional video networking application. The role requires strong software development expertise and proficiency with AI coding tools such as Claude Code. The engineer will help build the product from its earliest technical foundations and shape the platform’s architecture and implementation.