Engenheiro de IA Pl

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.