Role Description In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. - Contribute expert-level knowledge to bug fixing, feature implementation, codebase refactoring, and performance optimization across a range of programming languages. - Analyze and enhance software codebases to ensure clarity, maintainability, and efficiency. - Collaborate with multidisciplinary teams to provide feedback and insights for AI model improvement. - Develop robust solutions and document best practices to support scalable AI training workflows. - Evaluate existing system architecture and recommend technical strategies for optimal results. - Deliver clear, concise written and verbal communication regarding technical findings and project progress. - Support the continuous improvement of AI systems by providing real-world coding expertise in challenging scenarios. Qualifications - Proficiency in Python3, Java, Rust, or TypeScript, with additional experience in C++ or Go considered a strong asset. - Deep understanding of algorithms, data structures, and performance tuning. - Demonstrated experience in debugging complex software issues and delivering maintainable solutions. - Strong background in feature development and codebase refactoring. - Proven ability to optimize software for performance and scalability. - Exceptional written and verbal communication skills, with a keen attention to detail. - Track record of success in collaborative, cross-functional teams, ideally in remote settings. Requirements - Previous experience working on large-scale, distributed codebases. - Familiarity with modern AI or machine learning systems is a plus, though not required. - Background in participating in rigorous code reviews and contributing to the development of software best practices. Benefits - This is a unique opportunity to directly impact the next generation of AI by leveraging your advanced engineering skills in a dynamic, remote setting.

Role Description We are looking for experienced software engineers to help train and evaluate next-generation AI systems through real-world software engineering tasks. This role is best suited for developers who can reason through unfamiliar codebases, explain engineering decisions clearly, and solve practical backend, full-stack, systems, or infrastructure-related problems. - A Cybersecurity/SecOps background or exposure is highly preferred. - No prior AI experience is required. - What matters most is strong software engineering judgment, clean technical communication, and the ability to evaluate code, architecture, tradeoffs, and implementation quality. Qualifications - 3+ years of hands-on software engineering experience. - Strong experience in at least one backend or full-stack engineering environment, such as Python, JavaScript/TypeScript, Node.js, Java, C++, Go, or Ruby. - Experience building, maintaining, or reviewing production-level applications, APIs, services, databases, or integrations. - Strong understanding of software engineering fundamentals, including debugging, testing, code quality, architecture, and technical tradeoffs. - Ability to explain complex engineering decisions clearly and objectively. - Comfortable reading and reasoning through unfamiliar code or technical requirements. Requirements - Work on challenging software engineering tasks across backend, full-stack, infrastructure, and systems-related projects. - Review, debug, improve, and explain code across different technical environments. - Design or evaluate practical solutions involving APIs, databases, services, integrations, testing, and deployment workflows. - Identify tradeoffs around scalability, maintainability, performance, reliability, security, and developer experience. - Communicate technical reasoning clearly in writing, including why a solution works and what alternatives were considered. - Collaborate with the customer’s team on technical reviews, implementation decisions, and problem-solving exercises. - Adapt quickly to new codebases, frameworks, and technical requirements. Preferred Qualifications - Experience with cloud environments such as AWS, GCP, or Azure. - Experience with CI/CD pipelines, DevOps workflows, containers, monitoring, or production operations. - Experience with frontend frameworks such as React, Next.js, Angular, Vue, or React Native. - Open-source contributions, public GitHub work, technical writing, or strong examples of past engineering work. - Experience mentoring engineers, reviewing code, or making architecture decisions.

Role Description Atuar no desenvolvimento, manutenção e evolução de aplicações backend, contribuindo para a construção de soluções escaláveis, seguras e de alta performance; - Desenvolver novas funcionalidades e realizar melhorias contínuas em sistemas existentes, garantindo qualidade técnica, estabilidade e aderência às necessidades do negócio; - Participar das definições técnicas da squad, colaborando na construção de APIs, integrações, arquitetura de microsserviços e boas práticas de desenvolvimento; - Atuar ativamente nos ritos, cerimônias e reuniões da equipe, contribuindo com discussões técnicas, refinamentos, estimativas, planejamentos e alinhamentos junto aos times de negócio, produto e tecnologia; - Contribuir para a qualidade do código por meio de testes automatizados, code reviews, observabilidade e monitoramento das aplicações; - Apoiar a identificação e resolução de problemas técnicos, propondo melhorias contínuas para a arquitetura, processos e entregas da squad; - Atuar em um ambiente colaborativo, utilizando práticas ágeis e ferramentas de Inteligência Artificial para aumentar produtividade, qualidade e eficiência no desenvolvimento, garantindo alinhamento técnico e evolução sustentável dos produtos e sistemas. Qualifications - Experiência sólida com desenvolvimento backend utilizando .NET Framework, .NET Core, ASP.NET e C#; - Conhecimento em controle de versão com Git; - Vivência com metodologias ágeis, como Scrum e Kanban; - Experiência na escrita e manutenção de testes unitários; - Conhecimento em bancos de dados relacionais, especialmente SQL Server; - Experiência com bancos de dados não relacionais, como MongoDB; - Vivência com mensageria utilizando RabbitMQ, Kafka ou soluções similares; - Experiência no desenvolvimento e documentação de APIs REST utilizando Swagger/OpenAPI; - Conhecimento em autenticação e autorização utilizando JWT, OAuth2 ou soluções similares; - Experiência com soluções de cache, como Redis; - Conhecimento em ferramentas de observabilidade e monitoramento, preferencialmente Datadog; - Experiência com arquitetura de microsserviços; - Vivência prática com ferramentas de Inteligência Artificial aplicadas ao desenvolvimento de software, como GitHub Copilot, Cursor ou Claude; - Conhecimento em serviços AWS, como S3, EC2, SES, SNS, SQS, Lambda Functions e similares; - Perfil proativo, consultivo e orientado à solução de problemas. Requirements - Possuir espanhol intermediário ou avançado, contribuindo para a comunicação e colaboração em projetos ou interações com times da América Latina. Benefits - Vale alimentação e refeição no cartão Sólides Benefícios com mais de R$ 1.200,00 mensais; - Auxílio home office no valor de R$ 150,00 mensais; - Você decide entre vale-transporte ou vale-combustível, no caso de vagas híbridas e presenciais; - Plano de saúde e auxílio odontológico de alta qualidade; - Seguro de vida que cobre doenças ocupacionais; - Participação nos lucros; - Total Pass para se manter saudável; - Trib Pass para trocar moedas digitais por hospedagens e passagens aéreas com cobertura mundial; - Licença maternidade estendida: 180 dias; - Licença paternidade estendida: 30 dias; - Desconto em consultas nutricionais; - Desconto em terapia online; - Clube de benefícios para quem gosta de comprar com descontos; - Knowledge transfer através do Frame KT; - Bonificação por indicação de novos colaboradores; - Horário flexível; - No dress code; - Nas pausas presenciais, fique à vontade para comer pães, bolos e frutas; - Ambiente leve, flexível e cultura colaborativa.

• Design and develop stable, secure, and scalable RPA solutions using UiPath using RE Framework and other development best practices • Maintain and update technical documentation • Follow and recommend improvements of good best practices, methodologies, QA/testing, policies, and procedures • Recommend continual improvements for RPA solutions • Author and maintain Solution Design Documents (SDDs), process definitions, and other automation artifacts to support development and knowledge transfer • Build, deploy, and monitor automations in UiPath Orchestrator, including queue management, scheduling, and asset configuration • Leverage UiPath Automation Suite to deliver enterprise-grade automations across cloud and on-premises environments • Develop and configure UiPath Autopilot experiences to support AI-assisted decision-making and user-guided automation • Implement Document Understanding workflows to process structured, semi-structured, and unstructured data using AI models and OCR • Integrate UiPath with third-party systems and APIs to enable seamless end-to-end process automation • Collaborate with business analysts, process SMEs, and testers to ensure automations align with business requirements and deliver measurable value • Participate in Agile ceremonies (sprint planning, daily standups, retrospectives) to ensure iterative, transparent, and high-quality delivery