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Senior Full Stack AI Engineer

Brasil
  • Trabalho remoto
Job Description 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
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

Requirements 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

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