• Build AI solutions using Python, .NET and modern technologies. • Participate in the design and development of solutions using LLMs, RAG, MCP and AI harnesses. • Develop proofs of concept, experiments and scalable solutions. • Support other teams in adopting AI across the Localiza Labs ecosystem. • Create components, accelerators and best practices to facilitate AI adoption within the company. • Work on innovation, experimentation and the continuous evolution of intelligent solutions. • Help turn ideas into AI-powered products, services and tools.

• Build the operator tooling for ad operations • Build the backend services and APIs for AI agent integrations • Own the infrastructure by building and operating cloud infrastructure • Work across the entire stack • Shape the architecture of the platform

• Develop and maintain scalable, high-performance web applications • Write clean, maintainable, and efficient code using modern frameworks and technologies • Collaborate with designers and product managers to implement user-friendly interfaces • Build and integrate APIs to support application functionality • Work with databases, ensuring optimal data modeling and performance • Implement security best practices to protect sensitive data • Troubleshoot, debug, and resolve technical issues in a timely manner • Participate in code reviews, ensuring adherence to best practices and coding standards • Document and define disaster and succession plans for software solutions • Stay updated with emerging technologies and suggest improvements to enhance product development

• Collaborating with stakeholders and technical teams to understand requirements, provide an optimized architecture, and address technical limitations. • Lead enterprise digital transformation, cloud adoption, optimization, and automation by applying broad technical skills. • Provide thought leadership in solution architecture, design, development, requirements analysis, strategies, and reviews. • Apply independent analysis based on in-depth research and interpretive thinking. • Evaluate and recommend technical solutions from various options. • Utilize expert communication skills needed to direct the skilled technical resources and report on the technical progress, issues, and problem areas, as well as write and review technical documents. • Lead initiatives which include Cloud Engineering, Artificial Intelligence, Machine Learning, and software engineering initiatives. • Coordinate and inspire AttainX team members to deliver technical solutions which meet the client’s needs. • Stay informed on industry trends and best practices in software development and architecture.