
5001 - 10000 employees
📚 Education
⚕️ Healthcare Insurance
🧬 Biotechnology
Education • Healthcare Insurance • Biotechnology
Afya is the largest hub of education and healthcare solutions in Brazil, dedicated to enhancing medical training and practice. With a comprehensive portfolio that includes undergraduate programs, continued medical education, and digital healthcare solutions, Afya aims to support healthcare professionals at all stages of their careers. The company leverages technology to deliver high-quality medical education and has seen substantial growth in digital educational resources, especially during the pandemic, positioning itself as a leader in the healthtech sector.
🕒 April 20
🗣️🇧🇷🇵🇹 Portuguese Required
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5001 - 10000 employees
📚 Education
⚕️ Healthcare Insurance
🧬 Biotechnology
Education • Healthcare Insurance • Biotechnology
Afya is the largest hub of education and healthcare solutions in Brazil, dedicated to enhancing medical training and practice. With a comprehensive portfolio that includes undergraduate programs, continued medical education, and digital healthcare solutions, Afya aims to support healthcare professionals at all stages of their careers. The company leverages technology to deliver high-quality medical education and has seen substantial growth in digital educational resources, especially during the pandemic, positioning itself as a leader in the healthtech sector.
• Design, develop, and scale AI agents in production, ensuring performance, reliability, and low latency • Build and evolve agent infrastructure (harnesses, orchestration, context and state management) • Architect solutions for multi-agent systems and integration with different tools and data sources • Develop APIs and backend services (e.g., FastAPI/Python) to support intelligent applications • Integrate new data sources and external services (e.g., medical APIs, clinical databases such as PubMed) • Ensure clinical accuracy, safety, and regulatory compliance through testing and verification mechanisms • Implement observability practices (tracing, metrics, logs, and alerts) for production monitoring • Work on performance optimization (latency, throughput, scalability) of the systems • Rapidly prototype new solutions and validate hypotheses before scaling to production • Collaborate with Product and Data Science teams to define solutions and quality metrics • Conduct and participate in code reviews, promoting code quality and the team’s technical growth • Provide technical support to other engineers through mentorship and architectural discussions • Document technical decisions (e.g., ADRs) and contribute to the continuous improvement of engineering practices • Conduct management rituals (1:1s, continuous feedback, performance review cycles, and individual development) • Define and track team goals, connecting technical deliveries to the business’s strategic objectives • Contribute to building and evolving the team, supporting career plans and technical and behavioral development • Identify capacity gaps and support hiring processes together with Talent Acquisition • Promote an engineering culture based on quality, collaboration, ownership, and continuous improvement • Ensure proper allocation of people to projects, balancing operational efficiency and individual development • Mediate conflicts and facilitate communication between technical and non-technical stakeholders • Act as a bridge between strategy and execution, translating leadership direction into clear plans for the team
• Strong experience in Software Engineering, with mastery of architecture and design patterns • Deep knowledge of distributed systems (consistency, fault tolerance, CAP theorem) • Experience with API development (REST), versioning, caching, and resilience (circuit breakers, retries) • Mastery of concurrency and parallelism concepts (async, threading, race conditions) • Experience with observability (distributed tracing, metrics, logging, and debugging in production) • Familiarity with building resilient, fault-tolerant systems • Experience with automated testing (unit, integration, and E2E) • Familiarity with developing AI systems and agent concepts (orchestration, multi-agent) • Experience with modern AI-assisted development tools (e.g., Copilot, Cursor, or similar) • Fluency in Portuguese and technical reading in English • Previous experience managing engineering teams (as a tech lead, coordinator, or similar) • Ability to develop people, provide structured feedback, and conduct performance conversations • Experience managing multiple priorities and concurrent projects • Ability to influence decisions and align different stakeholders • Ability to make decisions in complex and ambiguous scenarios, balancing speed and quality • Strong communication and collaboration skills with multidisciplinary teams
• Meal allowance / meal voucher • Flexible working hours and allocations (for Remote positions) • Commuter benefit (for Hybrid or On-site positions) • Profit-sharing (PLR) • Multibenefits: flexible benefit via Flash Card to use as you prefer • Gympass / Wellhub • Psicologia Viva (online platform for psychologist and nutritionist consultations) • Health and dental plan • Life insurance • Extended parental leave (up to 6 months for mothers and 20 days for fathers) • Rede D'Ór: support and important information for maternal and baby health with a network of affiliated nurses • Birthday Day Off (one day off to take on your birthday or during your birth month) • Platform with various courses to improve your knowledge (UCA) • Language academy (AIA) • Leadership development program • Discounts on undergraduate and graduate courses at Afya educational units • Premium subscription to Afya iClinic and Afya Whitebook
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