Engenheiro de IA Pl

Job description

Accountabilities Build and evolve the core architecture of an AI agent platform, ensuring standardization, governance, scalability, and high reusability. Develop and integrate robust mechanisms for tracking, metrics, evaluation, logging, observability, and auditing throughout the agent lifecycle. Assess AI agent initiatives by understanding their requirements, behavioral patterns, interactions, and orchestration needs. Contribute to bringing critical components in-house, increasing control, security, consistency, and maintainability across the AI ecosystem. Collaborate with other AI initiatives to ensure technical alignment, architectural consistency, and knowledge sharing. Develop foundational MVPs and reusable capabilities, including documentation standards, agent templates, monitoring tools, and observability protocols. Support the evolution of AI engineering practices by identifying opportunities to improve reliability, evaluation, governance, and operational efficiency. Requirements Bachelor's degree in Information Technology, Computer Science, Software Engineering, or a related field. Practical knowledge of prompt engineering techniques, including few-shot, self-ask, chain-of-thought, and tree-of-thought approaches. Experience with prompt A/B testing and systematic evaluation of model responses. Strong understanding of distributed systems architecture, with the ability to design and implement scalable, highly available solutions. Experience working with application or machine learning platforms and pipelines. Hands-on experience with AI agents, orchestrators, or frameworks such as LangChain, LlamaIndex, Spring AI, or equivalent technologies. Proven software development experience in technically complex environments. Experience working with cloud environments, particularly AWS and/or OCI. Knowledge of embeddings, vectorization, and Retrieval-Augmented Generation (RAG). Understanding of prompt security techniques and strategies for mitigating prompt injection. Strong analytical and problem-solving skills, combined with an engineering mindset focused on scalability, reliability, and continuous improvement. Ability to collaborate effectively across technical teams and AI initiatives. Benefits Food and/or meal allowance. Medical and dental insurance. Life insurance. Access to TotalPass and ZenKlub partnerships. Extended maternity and paternity leave. Childcare assistance. Discounts of up to 50% on postgraduate programs and MBAs at partner institutions, including FIA, FAAP, and PUCRS. No dress code, allowing you to work in a way that feels comfortable. Birthday day off. Baby Gift for newborns. Remote work model. Position based in Brazil, with the listed workplace location in São Paulo, SP. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Engenheiro de IA Pl based in Brazil. This role offers the opportunity to help build the technical foundation for scalable AI agent platforms in a high-complexity environment.You will contribute to the architecture, governance, observability, and evolution of reusable AI components and agent ecosystems.The position combines software engineering, distributed systems, cloud technologies, and modern generative AI practices.You will work on initiatives involving agent orchestration, evaluation, monitoring, security, embeddings, and RAG.Your work will help establish standards and infrastructure that enable AI initiatives to scale safely and consistently.You will collaborate across AI initiatives, sharing technical knowledge and helping bring critical capabilities in-house.This is a hands-on opportunity for an engineer who wants to turn emerging AI technologies into robust, production-ready solutions.