Pessoa Desenvolvedora de IA/RPA - Pleno

Accountabilities: Map, document, and analyze business processes using As-Is and To-Be models to identify automation opportunities and process improvements. Design, develop, test, and deploy automation robots using platforms such as UiPath, Power Automate, Automation Anywhere, or Blue Prism. Integrate RPA solutions with REST APIs, web services, databases, AI services, and intelligent agents. Incorporate Artificial Intelligence and Generative AI (GenAI) models into automated workflows to support intelligent processing and decision-making. Perform unit, integration, and regression testing to ensure the reliability, accuracy, and performance of automation solutions. Monitor, maintain, troubleshoot, and optimize automations operating in production environments. Create and maintain detailed technical documentation covering automation workflows, integrations, business rules, and solution functionality. Collaborate with the Lead Architect and other technical professionals to ensure solutions comply with established architecture standards and development best practices. Requirements: Completed undergraduate degree; candidates from all academic backgrounds are welcome. Professional experience developing and implementing RPA solutions. Proficiency with at least one automation platform, such as UiPath, Power Automate, Automation Anywhere, or Blue Prism. Programming knowledge, preferably in Python, C#, or VB.NET. Experience integrating systems through REST APIs, web services, and databases. Knowledge of business process mapping and modeling, including As-Is and To-Be methodologies. Familiarity with Generative AI, Large Language Models (LLMs), and intelligent agents. Understanding of software testing, exception handling, and automation monitoring. Ability to develop technical solutions in line with architecture standards, coding practices, and development best practices. Strong analytical and problem-solving skills, attention to detail, and the ability to collaborate effectively with technical teams. Nice to Have: Experience integrating AI models and LLMs into automated workflows. Familiarity with intelligent agent frameworks such as LangChain, LangGraph, or Semantic Kernel. Knowledge of Retrieval-Augmented Generation (RAG) architectures and AI integration with knowledge bases. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with code version control and CI/CD practices. Previous involvement in intelligent automation and digital transformation projects. Benefits: Fully remote working arrangement. Flexible benefits program, including: Travel and accommodation points program. Medical and dental insurance. Life insurance. Pet insurance. Mobility allowance, including fuel, Uber, and 99 options. Flexible reimbursement for expenses such as glasses, vaccinations, education, and entertainment. Meal and/or food allowance. Additional benefits: Birthday day off. Gympass membership. Financial consulting and facilitated loan options. Alelo Club discounts at participating stores and pharmacies. 180 days of maternity leave and 30 days of paternity leave. Childcare assistance during the baby's first year. Transportation allowance depending on project or area requirements. Annual bonus program. Referral commission for bringing in new clients. Professional development opportunities, including: Access to a global learning and training center with up-to-date courses. Dedicated weekly development time through the Flex Time program. Mentoring with experienced leaders. Semiannual performance reviews and regular feedback sessions. Individual development plans aligned with career goals. Darwin, a global development program focused on technical and soft skills. Grounding, a global learning program for professionals beginning their consulting careers. International induction and onboarding. Spinnaker, strategic development training for managers and senior managers. Salary information is not specified in the job description.