Senior AI Engineer

• Design, develop, and deploy production-ready applications using LLMs, including GPT, Gemini, Claude, and other foundation models through AWS Bedrock
• Build and optimize RAG architectures processing and retrieving information from large-scale document repositories
• Implement and orchestrate multi-agent AI systems using AWS Bedrock Agents and AgentCore frameworks
• Design scalable AI pipelines integrating with enterprise systems and maintaining production-scale performance
• Develop backend services and APIs for AI applications using Python and modern frameworks
• Implement containerization and deployment strategies for AI applications
• Build monitoring and observability solutions tracking AI system performance, quality, and costs
• Design and optimize prompts and templates guiding LLM behavior and responses
• Apply advanced prompt engineering techniques to maximize model performance and accuracy
• Evaluate and fine-tune models for specific use cases
• Experiment with model configurations, hyperparameters, and architectures
• Partner with vertical areas and stakeholders to translate requirements into technical solutions
• Stay current with generative AI research and evaluate emerging foundation models
• Contribute to technical documentation, best practices, and knowledge sharing
• Participate in Sales initiatives related to Generative AI
• Collaborate with product managers, data scientists, solution architects, and engineers to deliver production-ready AI systems

• Strong years of professional software engineering experience
• Backend development experience; full-stack experience is a differential
• Hands-on experience with Large Language Models (LLMs) and foundation model APIs
• Agentic Architecture & Implementation experience, such as LangChain, LlamaIndex, CrewAI, or AutoGen
• Prompt engineering and optimization techniques
• Data consumption for agentic systems with vector databases, such as Pinecone, Weaviate, or OpenSearch, and embedding models or Knowledge Graphs
• Knowledge of DevOps and public cloud practices
• Knowledge of CI/CD pipelines for AI applications is desired
• Knowledge of Python with experience in modern frameworks and libraries

• Health and dental insurance
• Meal and food allowance
• Childcare assistance
• Extended paternity leave
• Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass
• Profit Sharing and Results Participation (PLR)
• Life insurance
• Continuous learning platform (CI&T University)
• Discount club
• Free online platform dedicated to physical, mental, and overall well-being
• Pregnancy and responsible parenting course
• Partnerships with online learning platforms
• Language learning platform
• Health and well-being team, inclusion specialists, and affinity groups
• Support and accommodations for people with disabilities