AI Engineering Specialist

Job not on LinkedIn

🕒 July 22

đŸ‡§đŸ‡· Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ€– AI Engineer

đŸ‘» Ghost score 13%

infoinfo

đŸ—ŁïžđŸ‡§đŸ‡·đŸ‡”đŸ‡č Portuguese Required

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Logo of banco BV

banco BV

1001 - 5000 employees

Founded 1993

đŸ›Ąïž Insurance

📩 Logistics

đŸ’Œ 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

‱ Serve as the squad's technical reference for topics related to AI Engineering and Software. ‱ Lead the technical and architectural design of solutions based on AI Agents, LLMs and RAG architectures. ‱ Make high-complexity technical decisions involving scalability, security, performance and system integration. ‱ Develop high-quality solutions following software engineering best practices. ‱ Define technical standards, frameworks and best practices for the evolution of the AI platform. ‱ Work hands-on in the development of critical solutions. ‱ Translate business needs into technically viable architectures and solutions. ‱ Mentor developers and disseminate technical knowledge within the team. ‱ Influence strategic decisions related to the adoption and evolution of AI across the organization.

🎯 Requirements

‱ Strong experience in backend software engineering. ‱ Advanced experience with Java, Spring Boot, RESTful APIs and microservices architecture. ‱ Hands-on experience building solutions using Generative AI. ‱ Proven experience creating AI Agents for enterprise environments. ‱ Experience with frameworks such as LangChain, LangGraph, ADK or similar. ‱ Solid knowledge of RAG (Retrieval-Augmented Generation) architectures. ‱ Experience integrating LLMs and orchestrating agents. ‱ Knowledge of observability, monitoring and performance. ‱ Experience with CI/CD pipelines. ‱ Experience with Cloud environments (preferably GCP). ‱ Knowledge of software architecture, design patterns and component-based engineering. ‱ Ability to understand complex business problems and translate them into technical solutions. ‱ Consultative profile with the ability to work closely with business areas. ‱ Strong analytical skills and critical thinking. ‱ Ability to influence decisions and navigate highly complex environments. ‱ Excellent communication skills with both technical and executive audiences. ‱ Proactive, results-oriented mindset. ‱ Ownership mentality. ‱ Ability to operate in transformation scenarios. ‱ Strong collaboration skills and a partnership-oriented approach.

đŸ–ïž Benefits

‱ Diversity and inclusion ‱ Professional development opportunities

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