Descrição de Vaga
| Código: | 15464 |
| Título da vaga: | AI/Automation Engineer - Build and Run Team - 10588037 |
| Local: | São Carlos, SP |
| Nível Profissional: | Analista |
| Nível Acadêmico: | Ensino Superior Completo |
| Áreas de Atuação Profissional: | TI - Projetos |
| Descrição: | 2x a week to São Carlos |
| Habilidades: | """We are looking for a highly skilled Full Stack Developer with some hands on experience in building AI enabled applications and automation systems. The ideal candidate will be proficient across front end and back end technologies, capable of architecting scalable solutions, and experienced in integrating systems using SDKs in a cross functional environment. ________________________________________ Key Responsibilities Full Stack Engineering • Design, build, and maintain scalable web applications, covering back end development. • Develop clean, maintainable code and contribute to architectural decisions for new and existing applications. • Implement MCPs, APIs, SDKs, and services that support scalable system integration. AI & Automation Development • Create, design, and implement automation systems to streamline processes and improve operational efficiency across platforms. • Develop AI driven features, models, or integrations to enhance product capabilities and automation outcomes. • Identify, analyze, and troubleshoot issues within automation systems to ensure reliable, smooth operation. Cross-Functional Collaboration • Work closely with product owners, engineers, and other internal teams to align automation approaches within a predefined SDK. • Ensure seamless integration between systems, automation layers, and partner tools. • Collaborate on feature roadmaps, application architecture, and scalability planning. ________________________________________ Required Skills & Qualifications • Proven experience as a Full Stack Developer, with strong proficiency in both front-end and back-end frameworks (e.g., Python, AWS, Azure, Java, or similar). • Hands-on experience working with AI/ML technologies, such as model integration, AI APIs, LLM tooling, or machine learning pipelines. Experience of using AI for productivity and efficiency capabilities using AI components • Strong understanding of automation systems, workflow orchestration, and systems integration. • Experience working with or developing SDK-based integrations. • Solid understanding of cloud platforms (Azure and AWS). • Ability to debug complex systems and deliver resilient, scalable solutions. • Excellent communication and collaboration skills.""" |