Staff AI Engineer

Description

**We are looking for a Staff Software Engineer \- AI\-First to join Gupy's team** Work model: Remote Employment model: CLT **Learn more about us** Gupy is a technology company uniting a group of people passionate about driving innovation and impacting the market. We are driven by big challenges and have an even bigger dream: transforming employability in Brazil through faster, fairer, and more delightful hiring processes. That’s why we’re always seeking professionals who love technology, continuous learning, and are ready to embark on this journey with us. We seek engaged individuals with great drive—and, of course, those who identify with our purpose and our most important mission. We’re growing rapidly and building even more powerful products every day. The secret? The incredible people who contribute daily to this construction at Gupy. **If you are a person with a disability, all our positions are open to you too** So, are you interested? Join the team of one of Brazil’s fastest-growing HRTechs! \#VemPraGupy **Responsibilities and duties** As a **Staff Software Engineer \| AI\-First**, you will: The Staff AI Engineer is Gupy’s highest technical authority in Artificial Intelligence. This role combines deep technical expertise with product vision: not only building AI solutions but also defining the strategy and architecture that scales across all products. It goes beyond individual execution: creating leverage for the team, making high-impact architectural decisions, and influencing the company’s AI roadmap. **RESPONSIBILITIES** * Contribute to the AI vision and roadmap for Gupy Platform products, bringing technical perspective to product and business decisions * Architect and lead the development of production-grade AI systems: from experimentation to large-scale deployment * Make build vs. buy vs. fine\-tune decisions for AI models and solutions * Integrate LLMs, foundational models, and generative solutions into Gupy products * Establish technical standards, best practices, and AI Engineering culture within the team * Collaborate with PMs, designers, and software engineers to embed intelligence into products * Mentor and develop AI/ML engineers on the team * Evaluate emerging technologies and models (LLMs, diffusion, multimodal) and recommend strategic adoption * Lead AI Governance initiatives, including quality assessment, bias evaluation, and AI ethics * Actively participate in hiring decisions and team building **Requirements and qualifications** **SKILLS AND TECHNICAL REQUIREMENTS** **Generative AI and LLMs** * Experience with fine\-tuning, RAG (Retrieval\-Augmented Generation), and LLM evaluation * Integration of foundational models * Advanced prompt engineering and AI pipeline design * Applied NLP: advantageous if in HR or matching contexts **ML and AI Fundamentals** * Advanced Python (production-grade, not just notebooks) * Deep learning: PyTorch and/or TensorFlow * Statistics, linear algebra, optimization theory * Recommendation systems and ranking models **MLOps and Infrastructure** * Cloud (AWS / GCP) for AI/ML workloads * Production ML pipelines (MLflow, Kubeflow, Airflow) * Low-latency model serving, Docker, Kubernetes * Observability and monitoring of production models **Technical Leadership** * Defining architecture and trade\-off decisions in AI systems * Cross\-team influence without hierarchical authority * Clear communication with non\-technical stakeholders * Mentoring and developing engineering talent **NICE\-TO\-HAVE (NOT REQUIRED)** * AI applied to matching or recommendation * Experience in HRTech or B2B SaaS * Contributions to open\-source AI projects * Publications or talks (NeurIPS, ICML, etc.) **Additional information** **Benefits** * Flexible working hours (yes, even while working remotely); * Meal allowance via Caju card; * Fully covered medical plan by Gupy for you, plus co\-payment for your legal dependents; * Dental plan; * Life insurance; * Remote work allowance; * Mental health support through benefits such as Zenklub; * Physical health support through benefits such as Gympass; * 6\-month maternity leave; * 6\-month paternity leave; * Our parental leave policy applies equally to same\-sex couples, non\-gestational mothers, and adoption cases regardless of child’s age. * 5\-day marriage leave; * Internal recognition via Gupy Coins, redeemable as credit on your Caju card (prizes like Netflix Credit, Spotify Credit, Pizza Credit, Gamer Credit, Romantic Dinner Credit); * Birthday day off; * Payroll\-deducted consigned loan via Creditas, with lower interest rates; * Creditas Financial Education, offering exclusive content to help you focus on financial literacy; * Creditas Store, where you can purchase products or services with direct payroll payment; * Férias\&Co, annual credits enabling you to organize vacation trips—buying accommodations and flights across Brazil and worldwide via subscription! We subsidize part of the monthly fee, and it’s up to you whether to subscribe—okay? * Woba: enables Gupiers to find coworking spaces across Brazil to work from; * Opportunity to become a Gupy shareholder. **Career** We offer full support so people become protagonists of their growth journeys, with a very clear career path featuring multiple transition options, learning opportunities, and challenges. Our Y\-shaped career framework accommodates diverse profiles, allowing individuals to pursue either management or continued technical tracks. We have no bureaucracy around promotions—we regularly assess candidates for promotion and provide opportunities for them to take their next steps. This is our mission. We developed Brazil’s first Artificial Intelligence applied to Recruitment and Selection, directly and indirectly impacting millions of lives every day! Awarded **Best Place to Work (GPTW)** for four consecutive years, we’ve been residents at Google Campus, accelerated by Wayra, and backed by Yellow Ventures, Canary, Maya Capital, Valor, and Oria. We’re supported by Endeavor—including winning the Diversity and Inclusion Award for three consecutive years! Amazing, right? Our **testing culture** ensures that while **scaling**, we maintain **application quality** and keep our users satisfied. We work **agilely**, building solutions in **Node, React, Python**, among others. We serve **thousands of requests per minute**, using **Kubernetes**, enabling dozens of deployments per day while maintaining **extremely high availability**. Today we have five major solutions—come learn about them: **Recruitment \& Selection**; **Onboarding**; **Training**; **Engagement**; and **Performance**. Our tech team comprises over 200 people, distributed across several Brazilian states! We operate under a hybrid work model, meaning we have an office in São Paulo: the GupyHub. Check the link for location and photos showcasing our physical space. By applying to selection processes to work at Gupy, you declare that you accept and agree to our People Management Privacy Policy. With great pride, we can say that **we are Brazil’s fastest\-growing HRTech**, and we’re just getting started! \#Vempragupy **Not in the Technology team but still want to work at Gupy? Visit here:** **vempra.gupy.io/**