CI&T

[Job- 32285] Senior AI Engineer, Brazil

Work from home

Remote role where the employee must remain based in a particular country.

Brazil only

From the listing details: Source listing states candidate location: "Brazil, remote"

Employer listed it 12 days ago · Added 8 days ago

Listed for 8 days before it closed.

This job has closed

CI&T has taken this listing down, so it is no longer accepting applications. The details below are kept for reference only.

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Salary

Not stated

Location

Brazil only

Timezone

Not stated

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
Pay: Not mentioned in the advert

Remote flexibility

Work from home

This is a remote role, but the employee must be based in Brazil. It is work from home rather than work from anywhere.

What the employer says

Source listing states candidate location: "Brazil, remote"

What Nomaders makes of it

Residency required in Brazil
Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
No pay is stated. Ask for the salary range before investing time in interviews.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

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 an experienced AI Engineer to join our nearshore team working on an AI-powered media planning platform. In this role, you will focus on developing, evaluating, and improving intelligent AI agents powered by Large Language Models (LLMs). You will work with AWS Bedrock and modern AI technologies to build reliable agentic workflows, optimize agent behavior, implement evaluation frameworks, and ensure AI-generated outputs are accurate, secure, and consistent. Your work will directly impact the quality, reliability, and scalability of production AI solutions.

Responsibilities:

Design, develop, and maintain AI agents and LLM-powered applications using Python and AWS services. Implement and optimize prompt engineering, agent orchestration, and intelligent decision-making workflows.

Develop evaluation frameworks to measure agent accuracy, reliability, and behavioral consistency.

Establish performance baselines, automated tests, and regression validation for changes to agent behavior.

Implement guardrails and validation mechanisms to ensure safe and reliable AI-generated outputs.

Develop intelligent information retrieval, filtering, ranking, and selection strategies using LLMs.

Investigate and resolve issues related to hallucinations, incorrect interpretations, and inconsistent agent responses.

Build end-to-end AI features integrating LLMs with backend APIs, document processing, and cloud infrastructure.

Improve agent observability through execution tracing, session tracking, and production monitoring.

Collaborate with engineering and product teams to deliver scalable, production-ready AI solutions.

Optimize LLM performance, latency, and operational costs through experimentation and measurable improvements.

Requirements:

Solid professional experience in AI engineering, machine learning engineering, or software development with production AI applications.

Strong proficiency in Python and experience developing APIs, integrations, and automated tests.

Hands-on experience building applications using Large Language Models (LLMs) and agentic AI workflows.

Experience with prompt engineering, LLM orchestration, and structured output generation.

Experience evaluating LLM outputs, implementing testing strategies, and measuring AI application quality.

Understanding of LLM limitations, including hallucinations, response variability, and reliability challenges.

Experience with AWS services (Bedrock, Lambda, S3, CloudWatch, or similar).

Strong knowledge of software engineering best practices, CI/CD, and cloud-based application development.

Requirements

·Solid professional experience in AI engineering, machine learning engineering, or software development with production AI applications.
·Strong proficiency in Python and experience developing APIs, integrations, and automated tests.
·Hands-on experience building applications using Large Language Models (LLMs) and agentic AI workflows.
·Experience with prompt engineering, LLM orchestration, and structured output generation.
·Experience evaluating LLM outputs, implementing testing strategies, and measuring AI application quality.