Generative AI Engineer – Senior

Job not on LinkedIn

🕒 Yesterday

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🗣️ LLM Engineer

👻 Ghost score 10%

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🗣️🇧🇷🇵🇹 Portuguese Required

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Logo of banco BV

banco BV

1001 - 5000 employees

Founded 1993

🛡️ Insurance

📦 Logistics

💼 Consulting

💰 Debt Financing on 2022-07

Insurance • Logistics • Consulting

banco BV is a financial institution that offers a wide range of banking services to both individual consumers and businesses. It provides personal and corporate accounts, credit cards, loans, financing for vehicles and solar energy, insurance solutions, and investment services. The bank also focuses on digital solutions, such as mobile banking apps and open finance initiatives, to enhance accessibility and customer experience. As a versatile financial entity, banco BV caters to both private and corporate clients, providing comprehensive banking and financial services.

📋 Description

• Lead the technical discovery of initiatives, aligning audit business rules, scope, and technical feasibility • Design and implement advanced Generative AI systems based on multi-agent architectures, LangChain, LangGraph, CrewAI, and RAG • Implement MLOps and GenAIOps practices for model monitoring, experiment versioning, cost and token tracking, and automated CI/CD deployments • Structure, test, and maintain BigQuery massive data processing pipelines, integrating sources with Python, Pandas, PySpark, and advanced SQL • Develop, execute, and optimize real-time statistical and analytical metrics • Apply Machine Learning algorithms to detect anomalies, operational deviations, and fraud • Build real-time monitoring dashboards with Grafana and equivalent tools • Support audit teams in the continuous assessment of risks and communication of findings to committees • Conduct bias, hallucination, jailbreak, and prompt security testing • Preserve investigative confidentiality with respect to other lines of defense • Lead the development of AI agents, analytical solutions, and predictive models from conception through production deployment

🎯 Requirements

• Strong professional experience as a Data Scientist, Machine Learning Engineer, or Senior AI Engineer • Advanced proficiency in Python, with a focus on AI software engineering and API development using FastAPI • Experience developing LLM-based applications with LangChain, LangGraph, or CrewAI, integrated into GenAIOps pipelines • Deep experience with RAG, vector databases, and advanced prompt engineering • Strong knowledge of the Google Cloud ecosystem, with a focus on Kubernetes (GKE), Vertex AI (Agent Builder, Model Registry), and Cloud Run • Knowledge of agent persistence and memory using Firestore or Datastore • Strong knowledge of advanced SQL for extracting, cleaning, and aggregating transactional data in BigQuery • Experience with Git, automated testing, and CI/CD pipelines • Curiosity and proactivity in testing and validating emerging AI technologies • Excellent analytical skills and strong attention to data quality and model statistical accuracy • Ability to work effectively in agile teams, translating complex results into business insights • Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field • Preferred qualifications: experience with analytical solutions for the financial or GRC sectors; MLOps and GenAIOps tools such as MLflow or Vertex Pipelines; Grafana, Prometheus, and OpenTelemetry; Google Cloud Professional Machine Learning Engineer or Professional Data Engineer certifications

🏖️ Benefits

• Permanent employment • Agile, digital, and customer-centric culture • Recognized as the Best Financial Institution to Work For in GPTW’s 2025 ranking • Opportunities to work with advanced Generative AI, machine learning, data engineering, and cloud computing technologies • Inclusive environment that encourages Black people, women, professionals with disabilities, LGBTQIA+ community members, and people of all ages to apply

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