Senior Full Stack AI Engineer at Walter

Mexico

Job DescriptionSummary:<p>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.</p><p></p>General Information:<p>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.</p><p></p>Tasks and deliverables:<ul><li>Build end-to-end applications that incorporate generative AI capabilities into real user workflows</li><li>Develop scalable backend services, APIs, and integrations using modern engineering practices</li><li>Build responsive and maintainable frontend experiences using modern frameworks</li><li>Design modular system architectures that support scalability, reliability, and long-term maintainability</li><li>Integrate LLMs and other AI tools into production applications with appropriate safeguards and monitoring</li><li>Optimize prompt flows, data pipelines, and system interactions for consistency and performance</li><li>Translate business requirements into technical solutions and make strong implementation trade-offs</li><li>Own features from ideation through development, testing, deployment, and iteration</li><li>Reuse and adapt proven solutions where appropriate to accelerate delivery</li><li>Continuously improve product quality based on performance data, feedback, and operational learnings</li></ul><p></p>Engagement highlights:<ul><li><p>Opportunity to build impactful AI-powered products used in real production environments</p></li><li><p>High ownership across architecture, implementation, and delivery</p></li><li><p>Role suited for engineers who enjoy both product thinking and technical depth</p></li><li><p>Chance to shape scalable systems early and influence long-term engineering quality</p></li><li><p>Fast-paced environment with a strong emphasis on execution and practical outcomes</p></li><li><p>Meaningful work at the intersection of full stack engineering and applied AI</p></li></ul> Required Experience:<ul><li><p>Strong full stack engineering experience, ideally 5+ years</p></li><li><p>Proficiency in backend development with technologies such as Node.js, Python, or similar</p></li><li><p>Strong frontend experience with frameworks such as React or comparable modern tools</p></li><li><p>Experience building and consuming APIs, working with databases, and deploying on cloud platforms</p></li><li><p>Hands-on experience integrating generative AI into production applications</p></li><li><p>Practical understanding of prompt engineering and AI system limitations, including failure modes and edge cases</p></li><li><p>Proven ability to design systems that scale beyond MVP and remain maintainable over time</p></li><li><p>Strong understanding of software architecture, system design, and engineering best practices</p></li><li><p>Demonstrated experience shipping multiple production-grade products or platforms</p></li><li><p>Ability to combine traditional software engineering discipline with modern AI-driven workflows</p></li><li><p>Experience working independently with strong ownership and product mindset</p></li></ul>