Senior AI Engineer, Brazil

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Take full ownership of the solution, overseeing everything from architecture to the tested code deployed in production, utilizing the agentic SDLC.

• Design and construct the agentic solution, incorporating LLM integration via APIs, RAG, tool orchestration, runtime frameworks, system prompts, and guardrails.

• Create and maintain context data pipelines utilizing internal sources and vector databases.

• Develop backend services and APIs using Python and build the user-facing application in React.

• Construct, customize, and repurpose agents, skills, subagents, commands, and development harnesses.

• Validate the solution through evaluations, automated testing, and red teaming to address hallucinations, prompt injection, and data leaks.

• Review AI-generated code and outputs for adherence to technical, quality, and business standards.

• Make decisions regarding token economy to balance quality and inference costs.

• Implement observability within application and agent code to monitor performance, quality, and expenses.

• Serve as the technical reference for the team, leading complex designs, reviewing code, and mentoring colleagues.

• Collaborate with the AI Deployment Engineer and AI Orchestrator to achieve production readiness.

• Uphold ethics, privacy, data security, and compliance protocols.

• Ensure continuity in delivery and facilitate smooth knowledge transfer.

⛳️ Requirements

• Senior-level AI Engineer with a proven history of delivering AI-driven applications in production.

• Extensive backend experience in Python (APIs, services, data processing).

• Strong frontend experience using React.

• Practical experience in developing LLM applications, including prompt and context engineering, RAG, tool orchestration, and multi-agent designs.

• Familiarity with vector databases and context data pipelines.

• Experience in assessing probabilistic behavior through evaluations and tests, as well as knowledge of AI red teaming practices.

• Experience utilizing AI coding agents and creating your own agents, skills, or commands to enhance delivery speed.

• Solid understanding of software architecture and engineering principles: microservices, event-driven systems, CI/CD, TDD, and observability.

• Experience with code or document analysis, parsing, or text extraction scenarios.

• Ability to serve as a technical reference, providing code reviews and mentoring other engineers.

• Proficient in English (B2+ or higher), both written and spoken.

• Nice to have: Experience in analyzing or modernizing legacy codebases, such as COBOL, Java, .NET, or similar.

• Nice to have: Advanced knowledge of RAG architectures and knowledge graphs.

• Nice to have: Experience with LLM observability and evaluation tools.

• Nice to have: Familiarity with Azure.

• Nice to have: Experience in fine-tuning models.

• Nice to have: Understanding of the financial services or mortgage sectors.

🏝️ Benefits

• Health and dental coverage.

• Meal and food allowances.

• Childcare support.

• Extended paternity leave.

• Access to gym partnerships and health and wellness professionals through Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Continuous learning opportunities via CI&T University.

• Discount club membership.

• Free online platform focused on physical, mental, and overall well-being.

• Courses on pregnancy and responsible parenting.

• Partnerships with online learning platforms.

• Language learning resources.

• Inclusion support and workplace accommodations for individuals with disabilities.

• Dedicated Health and Well-being team, inclusion specialists, and affinity groups.