Top Artificial Intelligence Software Engineer Jobs

Develop scalable software and analytics for clinical EHR data: data processing, statistical computing, machine learning, large-scale databases, and cloud integration. Translate research algorithms into production, gather requirements, document work, and present results.

Develop and maintain high-quality web applications using Angular/TypeScript, focusing on reusable components, RESTful integration, collaboration with cross-functional teams, and adopting modern web technologies to improve usability and efficiency.

Build and scale ReadyOn’s real-time backend decision layer. Design and implement decoupled TypeScript/Node.js (NestJS) services, work with Python components, optimize PostgreSQL schemas and queries, manage migrations and concurrency, integrate GraphQL, and collaborate with product, design, and AI teams to deliver high-impact production features. Onsite in San Francisco.

The Full Stack Software Engineer will design and maintain backend microservices, frontend applications, and C++ edge processing systems, ensuring scalability and reliability.

Build and improve static analysis and ML-for-code systems: enhance SCA and SAST platforms, implement call graph, data-flow and taint analyses, run ML experiments from prototype to production, collaborate on roadmap, optimize performance and reliability, and engage with customers and community as needed.

Lead end-to-end development of a highly interactive, AI-driven-feeling single-page web app with a focus on exceptional UI/UX, performance optimization, and product ownership. Collaborate with customers, product, design, and engineering; ship features quickly; participate in code reviews, interviews, and culture-building.

Lead product growth by combining frontend engineering, product, and marketing. Analyze product usage with analytics dashboards, run top-of-funnel and engagement experiments, define metrics, and optimize revenue and pipeline pre- and post-sale.

Own and scale core data systems powering high-throughput ingestion, storage, analytics, and product surfaces. Stabilize write paths, design read-optimized models and partitioning strategies, separate transactional and analytical workloads, enable AI-native analytics, write RFCs, and raise reliability and performance standards across the team.

Own and operate the end-to-end creation platform (frontend, backend, infra, models). Improve real-time generation latency and reliability, optimize cost at scale, maintain queues/fallbacks, and ship continuous improvements to the core create/remix loop and feed/ranking systems.

Open invitation to propose a custom role at Restate, a Rust-based durable runtime startup. Candidates should highlight strengths in backend infrastructure, durable execution, or AI agent workflows. Applications are reviewed on a rolling basis; matching profiles will be contacted. Restate operates remotely in Europe and the US and does not sponsor visas.