This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in Brazil.
This role focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. You will lead complex AI engineering initiatives, developing applications powered by Large Language Models, intelligent agents, and modern AI architectures. The position combines technical leadership, hands-on development, and collaboration with multidisciplinary teams across data, engineering, and business domains. You will contribute to solution strategy, implementation quality, and the adoption of responsible AI practices. Working in an innovative and global environment, you will help shape the future of AI-enabled experiences. The ideal candidate brings strong engineering expertise, curiosity, and the ability to turn complex challenges into scalable AI solutions.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior AI Engineer based in Brazil.
This role focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. You will lead complex AI engineering initiatives, developing applications powered by Large Language Models, intelligent agents, and modern AI architectures. The position combines technical leadership, hands-on development, and collaboration with multidisciplinary teams across data, engineering, and business domains. You will contribute to solution strategy, implementation quality, and the adoption of responsible AI practices. Working in an innovative and global environment, you will help shape the future of AI-enabled experiences. The ideal candidate brings strong engineering expertise, curiosity, and the ability to turn complex challenges into scalable AI solutions.
Accountabilities:
- Lead complex AI engineering workstreams across multiple business areas, use cases, products, and stakeholder groups.
- Define AI engineering strategies that align business objectives, workflow opportunities, orchestration approaches, integration requirements, and measurable outcomes.
- Translate complex and ambiguous requirements into structured implementation plans, including workflow logic, prompt orchestration, retrieval strategies, tool-calling approaches, and solution recommendations.
- Design, build, and improve AI-powered applications, agents, assistants, and workflow components that connect AI models with practical business processes.
- Establish and promote best practices for prompt engineering, context management, retrieval flows, API integrations, testing, response processing, and code quality.
- Develop reusable AI implementation patterns for use cases such as summarization, extraction, search augmentation, question answering, conversational experiences, automation, and agent-assisted workflows.
- Contribute to delivery planning, prioritization, technical standards, and quality assurance across AI engineering initiatives.
- Mentor and support other AI engineering practitioners through feedback, knowledge sharing, and technical guidance.
- Review technical deliverables to ensure quality, reliability, safety, maintainability, and alignment with business goals.
- Collaborate with Data Scientists, AI Specialists, Data Engineers, Analytics Engineers, and Architects to create solutions aligned with data governance, technical constraints, and organizational needs.
- Support team development through hiring, onboarding, capability building, and continuous improvement of AI engineering practices.
- Ensure AI solutions follow responsible AI principles, security standards, privacy requirements, and governance frameworks.
- Advanced English proficiency.
- Strong experience developing AI applications using Python, SQL, PowerShell, REST APIs, and structured data formats such as JSON.
- Experience designing and implementing LLM-powered and agentic applications, including Retrieval-Augmented Generation (RAG), prompt orchestration, embeddings, context management, tool calling, and workflow evaluation.
- Hands-on experience with Microsoft Azure AI ecosystems, including Azure AI Services, Azure OpenAI-compatible services, Azure API Management, Cosmos DB, and Microsoft Fabric.
- Strong knowledge of cloud-native architectures and scalable AI application development within enterprise environments.
- Experience with AI engineering practices focused on production readiness, reliability, testing, and maintainability.
- Experience working with Databricks, Apache Spark, and PySpark to support AI, analytics, and data engineering workflows.
- Proficiency with Git, GitHub, and Azure DevOps for version control, collaboration, and CI/CD practices.
- Ability to use AI-assisted development tools and workflows effectively to accelerate implementation, improve quality, create documentation, develop tests, and troubleshoot solutions while maintaining technical accountability.
- Strong problem-solving skills, collaboration abilities, and interest in continuous learning.
- Experience working in Agile environments and consulting contexts is a plus.
- Full-time remote position based in Brazil.
- Flexible work options, including remote and hybrid models depending on location and business needs.
- Competitive compensation package.
- Career growth opportunities, including international mobility and professional development programs.
- Access to learning resources, advanced tools, training programs, and industry expertise.
- Medical, dental, and vision insurance coverage for employees and families.
- Employer contributions to health savings programs where applicable.
- Opportunity to work on innovative AI and digital transformation projects for leading organizations.
- Collaborative and inclusive culture that values creativity, diversity, autonomy, and continuous improvement.