Top Artificial Intelligence Software Engineer Jobs

Lead software integration for high-speed optical transceivers on advanced switch architectures, ensuring automation and system debugging, collaborating with cross-functional teams.

The Senior Full Stack Developer will design, develop, and deliver scalable cloud-based solutions, leading product features from prototype to production while ensuring code quality and engaging with customers for product improvement.

Lead a team of engineers to develop AI-driven healthcare solutions, ensure software quality, collaborate with stakeholders, and improve patient care outcomes.

The AI Automation Engineer will develop scalable automation and integration solutions across various SaaS platforms, focusing on AI workflows, security, and data integrity.

Own and evolve billing and monetization systems to ensure accurate invoicing, reliable revenue capture, reconciliation, observability, and automation. Build plans, pricing, usage, discounts, credits, refunds, and internal tools while partnering with Finance, Support, GTM, and Product to enable scale and pricing agility.

Lead technical strategy, build and scale engineering orgs, drive execution and quality, own architecture and product-technology alignment, recruit and mentor leaders, and establish operational rigor and engineering best practices for a fast-growing AI data platform.

Design, build, deploy, and maintain scalable AI-driven advertising systems. Implement and monitor data-driven algorithms, preprocess training data with SQL, evaluate model performance, and integrate new methods to improve personalization, reliability, and efficiency.

Entry-level product engineer expected to ship production code, own small-to-medium features end-to-end, participate in user interviews, and iterate on AI-native product features. Work closely with senior product engineers to balance speed and quality and move features from 0->1.

Lead design and implementation of user interfaces for applications, collaborating with UX designers and developers to create responsive, scalable architectures and establishing best practices.

Lead development of a compiler toolchain for a custom LLM accelerator: design IR/graph transformations and lowering passes, optimize compute and memory patterns, integrate with PyTorch/JAX/Triton, build test infrastructure, and ensure correctness and performance for hybrid optical-electronic hardware.