Top Artificial Intelligence Software Engineer Jobs

Own and expand a Three.js-based in-browser solar configurator, build and optimize 3D geometry and design workflows, implement frontend product features, collaborate with backend and computational teams, and ensure performant, stable, and intuitive 3D UX.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Build and ship production features across backend services, APIs, and frontend systems supporting AI-driven EMR, billing, and operational workflows. Design scalable systems, collaborate with product and design, own projects from concept through launch, write tested code, participate in reviews and architecture decisions, and improve reliability and developer workflows.

Build and operate production-grade software, distributed systems, and infrastructure across public cloud, on-premises, and hybrid environments. Shape platform architecture, prototype emerging technologies, support early customers, and establish engineering standards in a 0-to-1 AI startup. The role requires strong Rust or C++ skills, cloud-native expertise, systems fundamentals, and ownership from concept through launch.

Develop and maintain scalable web applications, design UI components, collaborate with cross-functional teams, perform code reviews, and stay current with web and AI-related technologies to ensure performance and scalability.

Build and scale a permitting platform using React, Remix, TypeScript, Prisma, PostgreSQL, and AWS. Collaborate with customers and teammates, shape product direction and architecture, ship frequently, and establish engineering practices. The role emphasizes product-minded development, user empathy, clear communication, rapid delivery, and experimentation with AI-assisted workflows. Candidates should have at least two years of professional full-stack product development experience and be based on the West Coast, preferably in the San Francisco Bay Area.

Software Engineering Intern working across the technology stack to build semantic search, agentic AI systems, graph data solutions, and production-quality software. The role requires at least 20 hours per week and involves solving complex problems in an early-stage startup environment with significant ownership and experimentation.

Work as a Python development intern building applications and APIs, processing and analyzing data, working with databases and data pipelines, contributing to system architecture, writing clean documented code, and collaborating with the team. Strong emphasis on backend development, SQL, ORMs, and REST API design with potential conversion to full-time.

Lead architecture, technical design, and hands-on software development across macOS, Windows, web, and server platforms. Build and scale complex systems, rapidly deliver user value, maintain engineering quality through testing and continuous integration, and collaborate with product, design, leadership, users, and partners. The role requires technical leadership in a fast-changing startup environment, with potential work spanning local LLMs, infrastructure autoscaling, collaboration features, and secure key distribution.

Build full-stack product experiences spanning responsive interfaces, backend services, APIs, data models, integrations, and testing. Integrate AI models and verification services into reliable customer products, collaborate with research, product, and design teams, learn from users, and own software quality, monitoring, security, performance, and production support.