Desenvolvedor(a) Sênior Full Stack - AI Engineering

Accountabilities:

• • Build end-to-end product features using Java on the backend and React on the frontend, taking ownership across the full development lifecycle.
  • Implement integrations with external scheduling APIs, including failure handling, retry mechanisms, consistency, and reliable data exchange.
  • Design and develop conversational orchestration, defining how LLMs classify requests, extract information, generate responses, and determine when conversations should be transferred to human support.
  • Model and evolve data persistence using both relational and non-relational databases, selecting appropriate approaches according to product and technical requirements.
  • Develop messaging and asynchronous processing for operations that need to run independently of the active conversation.
  • Write automated tests, participate actively in code reviews, and contribute to maintaining high engineering standards.
  • Participate in architecture discussions and contribute technical reasoning to important product and engineering decisions.
  • Investigate, troubleshoot, and resolve issues in production environments while maintaining system reliability.
  • Use AI-assisted development tools thoughtfully and critically, reviewing generated code and outputs rigorously before integrating them into the product.
  • Share technical context, collaborate closely with a small squad, and support less experienced team members through knowledge sharing and mentoring.

  Requirements:

  • Solid professional experience in software development with a track record of delivering and maintaining production applications.
  • Strong hands-on expertise with Java backend development and React frontend development, with the autonomy to work effectively across both areas.
  • Experience with Docker and containerization, plus familiarity with deployment environments such as Azure.
  • Strong knowledge of relational databases, including data modeling, querying, and performance optimization.
  • Experience with non-relational databases and a clear understanding of when NoSQL approaches are appropriate.
  • Daily experience with AI-assisted software development using tools such as Claude Code, GitHub Copilot, Cursor, or equivalent solutions, combined with sound judgment about where AI accelerates development and where human review is essential.
  • Deep knowledge of applied AI and LLM application engineering, including prompt design, structured outputs, RAG, guardrails, and quality evaluation.
  • Experience consuming and integrating third-party APIs.
  • Strong autonomy, with the ability to unblock yourself while recognizing when collaboration or support is needed.
  • A strong quality mindset balanced with pragmatism and the ability to deliver without unnecessary perfectionism.
  • Excellent collaboration and communication skills, particularly within a small, highly interactive engineering team.
  • Genuine curiosity about applying AI to real-world products and customer experiences.
  • Experience with conversational platforms such as Chatwoot, Rasa, Botpress, Dialogflow, or similar tools is a plus.
  • Knowledge of the WhatsApp Business API (WABA), including templates, the 24-hour messaging window, and BSP integrations, is advantageous.
  • Experience with Azure OpenAI or equivalent technologies is a plus.
  • Experience working with healthcare products, sensitive data, and LGPD requirements is advantageous.
  • Previous experience building products in an MVP or early-stage environment is a plus.

  Benefits:

  • Fully remote work model within Brazil.
  • Full-time employment opportunity.
  • Opportunity to work on a new conversational AI product with direct impact on patient and healthcare experiences.
  • Significant technical autonomy and ownership within an early-stage product environment.
  • Hands-on exposure to modern LLM application engineering and applied AI technologies.
  • Daily use of AI-assisted software development practices and tools.
  • Opportunity to work across Java, React, Azure, databases, APIs, messaging, and conversational AI.
  • Close collaboration within a small engineering squad where technical contributions and ideas are highly visible.
  • Opportunities for knowledge sharing, mentoring, and continuous professional development.
  • Inclusive environment that values diversity, respect, ethics, collaboration, and continuous learning.
  • Access to learning and development initiatives, technical communities, training programs, and educational partnerships.