SR. AI Engineer -Foco em Criação e Orquestração de Agentes (Agentic SDLC)

<h3>Accountabilities:</h3><li>Architect, develop, test, and deliver end-to-end software solutions across relevant technology stacks, using an agentic Software Development Lifecycle (Agentic SDLC) and AI as primary development accelerators.</li><li>Build, customize, and orchestrate AI agents, subagents, reusable skills, commands, and harnesses that automate development activities, improve team productivity, and reduce software delivery lead time.</li><li>Establish reusable agent capabilities and share them across engineering teams to promote continuous improvement and modernize software development practices.</li><li>Apply modern software architecture and engineering principles, including microservices, event-driven systems, messaging queues, continuous integration and delivery (CI/CD), test-driven development (TDD), and automated testing.</li><li>Translate functional and business requirements into practical, scalable technical solutions, making deliberate architectural decisions and avoiding unnecessary complexity or over-engineering.</li><li>Critically review AI-generated code and outputs to ensure they meet technical specifications, quality standards, security requirements, and business objectives.</li><li>Design and implement evaluations (evals), automated tests, and red-teaming strategies to assess application behavior and validate the reliability of AI-powered solutions and the agents used to build them.</li><li>Identify and mitigate AI-specific risks, including hallucinations, prompt injection, data leakage, and other vulnerabilities that may affect application reliability or security.</li><li>Optimize token usage and inference costs by managing context-window size, RAG strategies, agent interaction patterns, and the number of model calls without compromising solution quality.</li><li>When AI capabilities are part of the solution, design and implement agentic architectures using foundation models accessed through APIs, retrieval-augmented generation, tool calling, orchestration frameworks, runtime environments, system prompts, and application-level guardrails.</li><li>Engineer context-data pipelines that integrate internal information sources and vector databases, ensuring AI agents receive reliable, relevant, and high-quality information.</li><li>Implement observability across applications and AI agents, monitoring system behavior, identifying anomalies, and responding to performance degradation or unexpected outputs.</li><li>Delegate specialized development tasks to purpose-built agents while maintaining an end-to-end understanding of the software lifecycle and deep technical expertise in a primary technology stack.</li><li>Evaluate and continuously improve the effectiveness of AI agents and development workflows through measurable testing and performance assessments.</li><li>Deliver production-ready solutions and coordinate with AI Deployment Engineers to align deployment, operational readiness, and production requirements.</li><li>Apply responsible AI, data privacy, security, and compliance practices to ensure that solutions meet applicable client requirements and organizational standards.</li><h2>Requirements:</h2><li>Strong professional experience in software engineering, with the technical maturity to architect, develop, test, and maintain production-grade applications.</li><li>Hands-on proficiency in<strong>Node.js, TypeScript, and NestJS</strong>, which are the core technologies specified for this position.</li><li>Solid knowledge of modern software architecture and engineering practices, including microservices, event-driven architectures, messaging systems, CI/CD, TDD, automated testing, and maintainable code design.</li><li>Experience using AI-assisted software development tools and integrating AI into the software development lifecycle, with the ability to move beyond passive assistant usage and build customized agent-driven workflows.</li><li>Practical knowledge of agent creation and orchestration, including agents, subagents, reusable skills, commands, and execution harnesses.</li><li>Understanding of foundation models, API-based model integration, RAG, tool orchestration, multi-agent architectures, and the frameworks and runtime environments used to deploy agentic applications.</li><li>Experience designing and implementing evaluation strategies for AI systems, including behavioral testing, reliability assessments, red teaming, and mitigation of hallucinations and prompt injection.</li><li>Familiarity with vector databases, contextual data pipelines, and the integration of internal data sources to support retrieval-based AI applications.</li><li>Understanding of token economics, inference-cost optimization, context management, and the trade-offs between AI solution quality, performance, and cost.</li><li>Knowledge of application observability, monitoring, debugging, security, privacy, and production-readiness practices.</li><li>Strong analytical thinking and technical judgment, with the ability to challenge AI-generated recommendations and select the simplest effective solution for complex engineering problems.</li><li>Ability to work across the software development lifecycle while maintaining deep expertise in a core technology stack and validating specialized work produced by AI agents.</li><li>Strong communication and collaboration skills to work effectively with multidisciplinary engineering teams and deployment specialists.</li><li>A proactive, adaptable, and continuous-learning mindset, with an interest in advancing AI-native engineering practices and improving software delivery outcomes.</li><h2>Benefits:</h2><li>Comprehensive health and dental insurance.</li><li>Meal and food allowances.</li><li>Childcare assistance.</li><li>Extended parental leave.</li><li>Access to fitness facilities and health and wellness professionals through Wellhub (formerly Gympass) and TotalPass partnerships.</li><li>Profit-sharing program (PLR).</li><li>Life insurance.</li><li>Continuous learning opportunities through a dedicated professional development platform.</li><li>Employee discount programs.</li><li>Free online resources focused on physical health, mental health, and overall well-being.</li><li>Pregnancy and responsible parenting courses.</li><li>Partnerships with online learning platforms and access to language-learning resources.</li><li>Additional employee benefits and professional development opportunities.</li><li>Remote work arrangements. Please note that employees residing in the Campinas Metropolitan Region are required to attend the company's offices in accordance with the applicable attendance policy.</li><li>An inclusive work environment with dedicated health and well-being resources, inclusion specialists, and affinity groups to support employees throughout their professional journey.</li>