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Senior Full Stack AI Engineer at Toptal. Location Information: Anywhere in the World. . . Headquarters:. Remote . URL:. . https://www.toptal.com/. . . . Summary:. . . We are looking for a Senior Full Stack AI Engineer to design, build, and scale production-grade applications powered by generative AI. This role is focused on delivering real products, not just prototypes. The ideal candidate is a strong end-to-end builder who can make sound architectural decisions, integrate AI capabilities into usable systems, and balance fast delivery with long-term maintainability.. . . . . General Information:. . . This is a senior engineering role for someone who can own product development from architecture through deployment. The role requires strong full stack engineering fundamentals combined with hands-on experience integrating generative AI into production workflows. The right candidate understands how to build scalable backend services, intuitive frontends, and reliable AI-enabled features that serve real users. This person should bring strong product thinking, architectural judgment, and the ability to move independently from requirements to shipped solutions.. . . . . Tasks and deliverables:. . . . . . Build end-to-end applications that incorporate generative AI capabilities into real user workflows. . . . . . Develop scalable backend services, APIs, and integrations using modern engineering practices. . . . . . Build responsive and maintainable frontend experiences using modern frameworks. . . . . . Design modular system architectures that support scalability, reliability, and long-term maintainability. . . . . . Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring. . . . . . Optimize prompt flows, data pipelines, and system interactions for consistency and performance. . . . . . Translate business requirements into technical solutions and make strong implementation trade-offs. . . . . . Own features from ideation through development, testing, deployment, and iteration. . . . . . Reuse and adapt proven solutions where appropriate to accelerate delivery. . . . . . Continuously improve product quality based on performance data, feedback, and operational learnings. . . . . . . . Required Experience:. . . . . . Strong full stack engineering experience, ideally 5+ years. . . . . . Proficiency in backend development with technologies such as Node.js, Python, or similar. . . . . . Strong frontend experience with frameworks such as React or comparable modern tools. . . . . . Experience building and consuming APIs, working with databases, and deploying on cloud platforms. . . . . . Hands-on experience integrating generative AI into production applications. . . . . . Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases. . . . . . Proven ability to design systems that scale beyond MVP and remain maintainable over time. . . . . . Strong understanding of software architecture, system design, and engineering best practices. . . . . . Demonstrated experience shipping multiple production-grade products or platforms. . . . . . Ability to combine traditional software engineering discipline with modern AI-driven workflows. . . . . . Experience working independently with strong ownership and product mindset. . . . . . . . Engagement highlights:. . . . . . Opportunity to build impactful AI-powered products used in real production environments. . . . . . High ownership across architecture, implementation, and delivery. . . . . . Role suited for engineers who enjoy both product thinking and technical depth. . . . . . Chance to shape scalable systems early and influence long-term engineering quality. . . . . . Fast-paced environment with a strong emphasis on execution and practical outcomes. . . . . . Meaningful work at the intersection of full stack engineering and applied AI. . . . . To apply:. . https://weworkremotely.com/remote-jobs/toptal-senior-full-stack-ai-engineer.