[Job-30817] Senior AI Engineer, Brazil
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 42d ago
The date the source published, not the day we noticed it (2026-08-04). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Brazil
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $95.9k–157.1k/yr
Middle 50% of 8 listings that do state pay — Engineering · Senior · Brazil · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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lever employer's own board first seen 30d ago · last seen 1h ago
The listing
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.
We are looking for a Senior AI Engineer to join our team and help build the next generation of AI-powered products and solutions.
In this role, you will leverage Generative AI as the foundation of software engineering, applying AI across the entire product development lifecycle, from requirements and design to deployment, monitoring, and continuous optimization. You will design and build intelligent agents, implement advanced AI architectures, and collaborate with cross-functional teams to deliver innovative, scalable, and production-ready solutions.
Requirements
- Bachelor's degree in Computer Science, Engineering, Applied Mathematics, or a related field.
- Strong software engineering experience using Python or a similar programming language.
- Hands-on experience with Generative AI frameworks, APIs, and modern LLM ecosystems.
- Proven experience building AI Agents and agentic workflows using Prompt Engineering, Context Engineering, AI Steering, RAG, and Model Context Protocol (MCP).
- Experience with LLMOps, LLM observability, tracing, and evaluation frameworks.
- Solid understanding of AI security practices, including guardrails, prompt injection mitigation, and secure data integration.
- Experience with Agent-to-Agent (A2A) and Agent Coordination Protocol (ACP).
- Experience deploying AI solutions throughout the software development lifecycle, from design to production and monitoring.
- Understanding of short- and long-term memory implementation in AI agents.
- Experience working in cloud-native environments.
- Strong communication skills in English, with the ability to engage both technical and business stakeholders.
- Ability to work independently while collaborating effectively in cross-functional teams.
Nice to Have
- Experience with reasoning strategies such as Chain of Thought and ReAct.
- Hands-on experience with Agentic AI frameworks and multi-agent orchestration tools such as LangGraph or CrewAI.
- Experience with LLM optimization, fine-tuning, and production inference deployment.
- Experience developing custom Model Context Protocol (MCP) servers.
- Knowledge of Knowledge Graphs and Hybrid RAG architectures.
- Experience designing and implementing LLM evaluation frameworks.
- Experience monitoring AI systems for performance, accuracy, reliability, and cost optimization.