
Mid-Level Full Stack Developer
Posted 5 days ago

Posted 5 days ago
This is a fully remote position, open to applicants in Brazil.
• Design and support both back-end and front-end applications that incorporate Artificial Intelligence solutions.
• Implement and integrate Machine Learning and Generative AI (GenAI) models within enterprise applications and systems.
• Create intelligent agents and virtual assistants utilizing specialized frameworks and technologies.
• Develop dialogue flows, conversational logic, and state management for intelligent agents.
• Establish integrations between agents, applications, APIs, databases, and enterprise services.
• Implement solutions based on Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG) architectures and autonomous agents.
• Perform functional, performance, and usability testing to ensure the quality and reliability of applications.
• Monitor, troubleshoot, and enhance AI solutions in production while pursuing improvements in performance and scalability.
• Collaborate with DevOps teams on deployment, integration, continuous delivery (CI/CD), and observability processes.
• Utilize best practices in software development, version control, security, and technical documentation.
• A completed Bachelor’s degree; candidates from all disciplines are encouraged to apply.
• Proficiency in software development using Python.
• Experience in back-end development and application integration using REST APIs.
• Familiarity with or strong expertise in Google Cloud Platform (GCP).
• Experience in integrating Machine Learning and Generative Artificial Intelligence (GenAI) models into applications.
• Understanding of LLMs, prompt engineering, and the development of AI-based applications.
• Experience or knowledge in the creation of intelligent agents and virtual assistants.
• Familiarity with frameworks used for developing agents and AI applications.
• Experience with both relational and non-relational databases.
• Knowledge of software testing, code version control, and best development practices.
• Familiarity with deployment, CI/CD, and application monitoring methodologies.
• Preferred: experience with Vertex AI, Cloud Run, Cloud Functions, BigQuery, and Cloud Storage.
• Preferred: understanding of Gemini models and Vertex AI Agent Builder.
• Preferred: experience with LangChain, LangGraph, CrewAI, or Google Agent Development Kit (ADK).
• Preferred: knowledge of RAG architectures and autonomous agents.
• Preferred: experience with front-end frameworks like React, Angular, or Vue.js.
• Preferred: knowledge of Docker, Kubernetes, and DevOps methodologies.
• Preferred: experience in the observability, monitoring, and optimization of AI applications in a production environment.
• All Points (a program offering points for airfare and hotel stays).
• Medical insurance.
• Dental insurance.
• Life insurance.
• Pet care benefit.
• Mobility assistance, including fuel and Uber/99 options.
• Flex reimbursement for glasses, vaccines, education, concerts, and more.
• Meal and/or food allowance.
• Day off for your birthday.
• Access to Gympass.
• Financial consulting and easy loan access.
• Alelo Club, providing various discounts at stores and pharmacies.
• 180 days of maternity leave.
• 30 days of paternity leave.
• Childcare support during the baby's first year.
• Transportation allowance tailored to project or department needs.
• Annual bonus program.
• Referral commission for introducing new clients.
• A global training and development center with current content and courses.
• Flex Time — dedicated weekly time for professional growth.
• Mentorship programs with leadership.
• Semiannual performance evaluations.
• A culture of feedback and regular 1:1 meetings.
• Personalized development plans.
• Global and national development and training programs (Darwin, Grounding, Induction, and Spinnaker).
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