Internas

Artificial Intelligence

• Design, develop, and implement AI agents focused on security solutions using leading frameworks and industry tools;
• Integrate and operationalize large language models (LLMs) and knowledge bases, automating and optimizing critical processes using Python and modern APIs;
• Evaluate and recommend GenAI platform alternatives (e.g., AWS Bedrock, Azure AI, Google Vertex AI) for building custom intelligent agents, considering scalability and security factors;
• Implement and consult on vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) to ensure efficient storage and retrieval of information;
• Document developed solutions clearly to promote technical knowledge sharing across teams;
• Act as an AI advocate, delivering trainings, talks, and sharing AI security best practices with other development teams;
• Collaborate with multidisciplinary squads to propose and implement innovative solutions aligned with business needs and security culture;
• Automate deployment and monitoring processes for agents and models in cloud environments using tools such as Docker, Kubernetes, Terraform, and CI/CD.

Developer, Generative AI – Senior

• Lead strategic teams focused on generative AI solutions and platform modernization.
• Define and implement strategies for the use of AI agents across large platforms.
• Manage technology integration projects using tools such as Amazon Bedrock and Microsoft Foundry.
• Drive the continuous evolution of solutions, aligning business demands with technical advancements.
• Ensure the efficient use of AI agents for automation and modernization of applications in cloud environments (AWS).
• Foster documentation practices, performance monitoring, and knowledge sharing within teams.

Developer, Generative AI – Senior

Artificial Intelligence Manager