Top Remote Senior Level Artificial Intelligence Software Engineer Jobs

Design, build, and optimize scalable real-time and batch data pipeline infrastructure. Develop backend features focused on reliability and performance, write well-tested code, review technical designs, and contribute to infrastructure across mobile, desktop, and server systems.

The role involves designing data ingestion and processing systems, writing scalable backend applications, and optimizing performance of business-critical endpoints.

Lead a remote engineering org to define scalable SaaS architecture, build enterprise-ready platform foundations (reliability, observability, security), drive execution and delivery cadence, hire and develop engineering talent, and translate business priorities into technical plans while working with ML/AI and ad-tech use cases.

Customer-facing technical role leading discovery, demos, and end-to-end implementations. Configure checks, workflows, and integrations; collaborate with delivery and customer success to scope, deploy, and optimize AI-powered fund operations solutions.

Design and develop core backend systems and APIs for AI applications, ensuring performance and reliability while collaborating with frontend teams.

Design and maintain scalable data pipelines, ensuring accuracy and reliability. Collaborate with engineers to optimize data systems and enforce best practices.

The role involves designing and scaling ML infrastructure for LLMs, including building training pipelines and deploying models in cloud and on-prem environments. Collaboration with engineers and managing GPU/TPU workloads is key.

The Senior NPU Architect will design and optimize architecture modules for AI accelerators, collaborating with teams to enhance performance for AI/ML workloads.

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.

Build and ship full‑stack product features for a browser-based CAD application: own front-end architecture and UX, maintain backend services (APIs, Postgres on GCP), write well-tested high-performance code (including C++ core), and lead customer-facing technical engagements to turn feedback into product improvements.