AI Specialist

🕒 September 14

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 13%

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PagBank

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🛡️ Insurance

💼 Consulting

📦 Logistics

Insurance • Consulting • Logistics

PagBank is a Brazilian fintech and digital banking platform that offers payment processing and merchant services, including POS card machines (maquininhas), mobile payment solutions, and online payment links. It provides digital accounts for consumers and businesses (Conta Digital and Conta PJ), debit and credit cards, investments (CDB, funds), insurance and payroll solutions, and financing/anticipation products via partner banks. PagBank also supplies business management tools (billing, reconciliation, TEF/PlugPag), developer integrations for online sales, and customer support and partner programs.

📋 Description

• Provide technical leadership for the evolution of the enterprise AI Agent platform, defining architectural standards, best practices, and guidelines to ensure scalability, governance, and reusability. • Serve as a technical reference for engineering teams, supporting architectural decisions and accelerating the adoption of generative AI solutions across the organization. • Design and implement advanced architectures for intelligent agents, including orchestration, memory, context, external tools, and integration with enterprise systems. • Build and enhance robust mechanisms for agent observability, monitoring, auditing, traceability, and evaluation, ensuring reliability and quality in production. • Lead the definition of frameworks, reusable components, and accelerators for developing AI-based solutions. • Evaluate and guide initiatives involving AI agents, identifying opportunities for standardization, efficiency gains, and reduced technical complexity. • Develop MVPs and strategic solutions that serve as references for the entire company, promoting the adoption of AI best practices. • Contribute to bringing critical platform components in-house, ensuring greater control, security, operational efficiency, and technological independence. • Collaborate effectively with cross-functional teams, promoting technical alignment across different AI initiatives and sharing knowledge with the internal community. • Participate in defining the company’s AI technology strategy by monitoring trends, evaluating new technologies, and proposing enhancements to the ecosystem.

🎯 Requirements

• Strong experience in software development and distributed systems architecture in highly scalable, mission-critical environments. • Proven experience serving as a technical reference, Tech Lead, Specialist, or Solutions Architect. • Hands-on experience building AI Agents, multi-agent systems, and LLM-based applications. • Advanced knowledge of AI frameworks such as LangChain, LangGraph, LlamaIndex, Spring AI, CrewAI, AutoGen, or equivalent technologies. • Advanced knowledge of Prompt Engineering techniques, including Few-Shot Prompting, Chain of Thought, Tree of Thoughts, Self-Ask, and other structured reasoning strategies. • Experience implementing RAG (Retrieval-Augmented Generation) architectures, embeddings, vector databases, and semantic retrieval mechanisms. • Experience defining and implementing evaluation metrics for AI applications, including automated evaluation, benchmarking, experimentation, and A/B testing. • Knowledge of AI observability, including prompt monitoring, execution tracing, cost analysis, quality metrics, and auditing. • Experience with cloud environments (AWS, OCI, or Azure), focused on resilient and scalable architectures. • Knowledge of security for Generative AI, including Prompt Injection, Jailbreaks, data leakage, guardrails, and AI Safety practices. • Ability to translate business challenges into scalable and sustainable technical solutions. • Experience with large-scale enterprise Generative AI platforms. • Knowledge of Machine Learning Operations (MLOps) and LLMOps. • Experience with fine-tuning, model customization, and language model evaluation. • Certifications in Cloud, Software Architecture, or Artificial Intelligence. • Experience in high-transaction environments and digital products serving millions of users. • Participation in technical communities, talks, articles, or open-source projects related to AI.

🏖️ Benefits

• Meal and/or food allowance. • Health and dental insurance. • Life insurance. • Partnerships with TotalPass and ZenKlub. • Extended maternity and paternity leave. • Childcare assistance. • Discounts of up to 50% on graduate programs and MBAs at leading institutions such as FIA, FAAP, and PUCRS. • No dress code: wear whatever makes you feel comfortable. • Birthday day off. • Baby Gift: a gift for newborns.

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