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Senior AI Engineer, Brazil
1 hora atrás
We are looking for an AI Engineer to join our global team and help design, build, and deploy intelligent solutions that leverage Machine Learning and Generative AI technologies. In this role, you will work closely with cross-functional teams including product, data, and engineering to transform business challenges into scalable AI-powered solutions.
Main Responsibilities
• Design, develop, and deploy AI-driven applications and services, with a strong focus on Machine Learning and Generative AI use cases.
• Build and integrate LLM-based solutions using frameworks such as LangChain, ensuring reliability, scalability, and performance.
• Collaborate with product managers, designers, and data teams to translate business requirements into technical AI solutions.
• Implement data pipelines, model training workflows, and inference services across different environments.
• Optimize models and systems for performance, cost, and scalability in production.
• Ensure best practices related to model evaluation, monitoring, versioning, and responsible AI usage.
• Contribute to technical discussions, architectural decisions, and proof-of-concepts for AI initiatives.
• Stay up to date with emerging AI technologies, tools, and industry trends.
Requirements
• Strong experience as an AI Engineer, Machine Learning Engineer, or similar role.
• Solid knowledge of Machine Learning concepts, algorithms, and model lifecycle.
• Hands-on experience with Generative AI (GenAI), including LLMs and prompt engineering.
• Experience using LangChain to build and orchestrate LLM-based applications.
• Proficiency in Python and common AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience deploying AI solutions in cloud environments (AWS, Azure, or GCP).
• Understanding of software engineering best practices, including version control, testing, and CI/CD.
• Advanced English (spoken and written), with the ability to communicate effectively with technical and non-technical stakeholders.
Nice to Have
• Experience with MLOps practices, including model monitoring, retraining, and automation.
• Familiarity with vector databases, embeddings, and retrieval-augmented generation (RAG) patterns.
• Knowledge of data engineering concepts and tools.
• Experience working in agile environments and cross-functional teams.
• Exposure to AI ethics, privacy, and security best practices.
• Previous experience in consultancy or client-facing projects.
#LI-BM2 Our benefits:
-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 And many more
More details about our benefits here:
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.
