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.
Key Responsibilities
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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.
Required Qualifications
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Advanced / Fluent English (C1 or higher), mandatory.
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Experience working with international clients and global teams.
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Strong hands-on experience with Generative AI, LLMs, RAG, and agent-based architectures.
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Proficiency in Python and software engineering best practices.
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Experience designing secure, scalable, and production-ready AI systems.
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Solid understanding of AI model evaluation, deployment, observability, and operational reliability.
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Experience with agent execution pipelines, CI/CD integrations, backend AI workflows, and automated orchestration.
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Strong knowledge of prompt engineering, context management, hallucination mitigation, and knowledge freshness strategies.
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Ability to work autonomously in complex, fast-paced, and ambiguous environments.
Nice to Have
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Experience with Azure, AWS, or GCP, especially deploying Generative AI solutions in cloud environments.
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Familiarity with Databricks, Vertex AI, Azure OpenAI, Amazon Bedrock, or similar enterprise AI platforms.
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Experience with Docker, Kubernetes, and containerized AI workloads.
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Knowledge of MLOps and AI/ML pipeline automation.
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Understanding of AI security, governance, compliance, and data privacy regulations.
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Certifications related to Generative AI, Machine Learning, Cloud, or AI Engineering.
Why Join CI&T?
At CI&T, you will work on large-scale AI transformation initiatives for global clients, collaborating with highly skilled engineers, architects, and AI specialists. You will have the opportunity to influence technical strategy, build cutting-edge Agentic AI platforms, and contribute to innovative solutions that create real business impact in a collaborative, growth-oriented, and technology-driven environment.
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