Top Artificial Intelligence Software Engineer Jobs

Build and optimize low-level, high-performance software and cloud-scale storage systems for multimodal data streams. Focus on OS-level systems programming, performance engineering, and improving data pipelines and I/O for ML workloads. Collaborate with teams to integrate storage formats and ML infrastructure; work onsite in NYC, SF, or London.

Design and build an authoritative end-to-end project system that unifies sales, estimating, procurement, and factory production. Develop full-stack applications, data models, pipelines, and interfaces; apply AI to unstructured processes; integrate real production data; set technical direction; and collaborate closely with operational teams to ship high-impact internal tools.

Lead web application development with a focus on Adobe AEM, handling content management, mobile web development, and technical problem resolution.

As a Software Engineer, you will collaborate on designing, developing, and testing AI models, maintain production systems, and explore new techniques within a small, impactful team.

As the first engineer, you will own the full stack, architect the next Omi SDK version, build prototypes, and shape product direction with direct collaboration with the founder.

Own and evolve core backend microservices for an AI inference platform: build production-grade APIs, multi-tenant SaaS features (auth, RBAC, billing), design OLTP/OLAP data models, collaborate on multi-cloud orchestration, ensure reliability/performance, and drive engineering quality through testing and CI/CD.

The LTE Engineer will work on development and testing, focusing on LTE protocol stack knowledge, TTCN3 script development, and network simulator development.

Lead end-to-end customer implementations by building custom integrations, configuring and productionizing AI agents, developing backend solutions, translating vague requirements into technical specs, and creating internal tools to accelerate repeatable deployments. Work closely with founders and clients to ship robust systems quickly.

The Full-Stack Product Engineer will design, develop, and maintain AI product interfaces, backend systems, and APIs while engaging with stakeholders.

Design, implement, and maintain software systems for production automation, optimizing performance and collaborating with engineers across disciplines.