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[Job - 32269] AI Engineer (Senior), Brazil

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Machine Learning EngineerData

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Requirements Summary

LLM integration through APIs, RAG, tool orchestration, orchestration and runtime frameworks,

Technical Tools

Machine Learning EngineerData

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.

About Us:

At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. In this role, you will join a client engagement building an AI-powered tool that extracts business and technical requirements from legacy code and documentation, helping a large US financial services client modernize its systems faster and with less risk. You will work with the agentic SDLC as your way of working and AI as your main build lever.

Own the solution end to end, from architecture to tested code running in production, using the agentic SDLC as the way of working

Architect and build the agentic solution: LLM integration through APIs, RAG, tool orchestration, orchestration and runtime frameworks, system prompts, and guardrails

Build and manage the context data pipelines (internal sources and vector databases) that feed the agents with reliable, high-quality inputs

Develop backend services and APIs in Python and the user-facing application in React

Build, customize, and reuse across the team your own agents, skills, subagents, commands, and harness that speed up development, instead of only consuming assistants

Validate the solution with evals, automated tests, and red teaming (hallucinations, prompt injection, and data leaks) before delivery

Critically review AI-generated code and outputs against technical, quality, and business requirements

Make token economy decisions in the design (context size, RAG strategy, number of agent calls) to balance quality and inference cost

Instrument observability in the application and agent code to monitor behavior, quality, and cost

Act as the technical reference for the team: lead the design of complex problems, review code, and mentor peers

Work with the AI Deployment Engineer and the AI Orchestrator so the solution reaches production ready and delivery stays predictable

Apply ethics, privacy, data security, and compliance practices in line with the client's and CI&T's rules

Ensure continuity of delivery and a smooth knowledge transfer of the tool

Senior-level AI Engineer with a solid track record delivering AI-powered applications to production

Strong backend experience in Python (APIs, services, data processing)

Strong frontend experience in React

Hands-on experience building LLM applications: prompt and context engineering, RAG, tool orchestration, and multi-agent designs

Experience with vector databases and context data pipelines

Experience evaluating probabilistic behavior with evals and tests, and awareness of AI red teaming practices

Experience using AI coding agents and building your own agents, skills, or commands to accelerate delivery

Solid software architecture and engineering fundamentals: microservices, event-driven systems, CI/CD, TDD, and observability

Experience with code or document analysis, parsing, or text extraction use cases

Ability to act as a technical reference, reviewing code and mentoring other engineers

Fluent English (B2+ or higher), written and spoken

Experience analyzing or modernizing legacy codebases (for example COBOL, Java, .NET, or similar)

Advanced RAG architectures and knowledge graphs

Experience with LLM observability and evaluation tooling

Experience with Azure

Experience fine-tuning models

Familiarity with the financial services or mortgage domain

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: https://ciandt.com/br/pt-br/carreiras

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.