Top Artificial Intelligence Software Engineer Jobs

As a Backend Software Engineer at Zelos, you will design and maintain distributed systems for processing high-frequency time-series data, building scalable storage solutions and optimizing performance.

The Full Stack Engineer role involves developing high-quality tools focusing on UX and performance, working with databases and distributed systems, and utilizing a diverse tech stack.

Design, implement, test, and maintain full-stack product and system code. Participate across the full development lifecycle, review peers' code, create documentation, collaborate with global teams, and help drive strategic engineering goals in a fast-growing startup.

As a Founding Engineer, you will architect and build the AI agent platform, develop automations, and optimize performance while collaborating with team members.

Own and build clinician-facing mobile and web frontends: improve UX, robustness, and performance. Architect scalable, offline-first interfaces; implement real-time voice/audio and deep device integrations; collaborate with Product Design; establish testing, monitoring, and best practices. Ship production mobile apps and modern web dashboards used in unreliable connectivity environments.

Build and maintain GTM systems: automated enrichment and scoring pipelines, integrate data sources, create multi-channel outreach sequences, automate scheduling and follow-ups, contribute to CRM and AI tooling, produce reporting dashboards, and programmatically remove pipeline bottlenecks.

Design, develop, and deploy complex features for AI-first products and customer interaction platforms. Collaborate with product and design, ensure scalability and reliability, mentor junior engineers, perform code reviews, and deliver enterprise-grade solutions in a fast-paced environment.

Hands-on NetSuite Solutions & Data Architect to design, configure, and optimize NetSuite for manufacturing, supply chain, order management, and finance. Lead integrations with Salesforce and Arena PLM, enforce data governance/MDM, build automations (SuiteScript/SuiteFlow), create reports/dashboards, and drive post-go-live stabilization, user adoption, and cross-functional alignment.

Design and operate Hyper's AI-native Industrial IoT platform; manage data pipelines and collaborate with cross-functional teams enabling advanced analytics and services.

Architect and build scalable, modular cloud systems and a workflow orchestration engine to run thousands of concurrent stateful tasks. Lead deployment of AI-powered LLM and rules-driven agents, define integration frameworks to external systems, and drive reliability, observability, and cross-functional delivery with product and customers.