[Job-30696] Senior GenAI Engineer, Brazil

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

At CI&T, we are looking for a Senior GenAI Engineer to join our global team and help design, build, and scale advanced Generative AI and Agentic AI solutions for enterprise clients.

This role is ideal for a professional with deep hands-on experience in Generative AI, LLMs, RAG, and agent-based architectures, combined with strong software engineering, cloud, and production-grade AI platform expertise.

You will work on the development of secure, scalable, observable, and reliable AI applications that support complex business workflows and large-scale enterprise environments.

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  Design, develop, and maintain GenAI and Agentic AI applications for production environments.

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  Build customizable agent solutions using frameworks such as LangChain, DeepAgents, Strands AI, or similar Agent SDKs.

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  Develop production-grade Python tooling and reusable AI components.

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  Implement RAG pipelines, external knowledge integrations, memory management, and context orchestration strategies.

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  Design secure sandboxed execution environments for agent tooling, including permissions, secrets management, network restrictions, and auditability.

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  Build and maintain MCP (Multi-Cloud Platform) tooling, including authentication, schema design, versioning, retries, and safe execution boundaries.

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  Implement observability, tracing, logging, and monitoring for prompts, tool calls, model performance, latency, and cost optimization.

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  Create automated evaluation and testing frameworks for AI agents, including golden datasets, regression tests, hallucination detection, and quality gates.

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  Design human-in-the-loop approval workflows for sensitive or high-risk operations.

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  Manage prompt versioning, model routing, fallback strategies, and token/cost optimization for enterprise AI systems.

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  Collaborate with Data, Analytics, Platform Engineering, and business stakeholders to deliver scalable AI solutions aligned with business goals.

• Advanced / Fluent English (C1 or higher),  mandatory.

• Experience working with international clients and global teams.

• Strong hands-on experience with Generative AI, LLMs, RAG, and agent-based architectures.

• Proficiency in Python and software engineering best practices.

• Experience designing secure, scalable, and production-ready AI systems.

• Solid understanding of AI model evaluation, deployment, observability, and operational reliability.

• Experience with agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration.

• Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies.

• Ability to work autonomously in complex, fast-paced, and ambiguous environments.

• Experience with Azure, AWS, or GCP, especially deploying Generative AI solutions in cloud environments.

• Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms.

• Experience with Docker, Kubernetes, and containerized AI workloads.

• Knowledge of MLOps and AI/ML pipeline automation.

• Understanding of AI security, governance, compliance, and data privacy regulations.

• Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering.