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

ResumeXrays LLC; Brazil; Remote; BRL 300,000 - 520,000; Full time

Benefits offered by this job

Health and dental insurance

Meal and food allowance

Childcare assistance

Extended paternity leave

Gympass/Wellhub partnerships

Profit Sharing and Results Participa-

Life insurance

CI&T University learning platform

Discount club

Well-being platform access

Parenting and pregnancy resources

Language learning platform

Job summary

CI&T is building an AI-powered tool for a large US financial services client to extract business and technical requirements from legacy code and documentation, modernizing systems with reduced risk. You will work with the agentic SDLC and leverage AI as the primary build lever.

You will own the solution architecturally, develop backend Python services and a React-based user interface, and ship production-grade features with rigorous evals, tests, and red teaming to ensure quality and

Qualifications

• Senior AI Engineer with production-ready AI apps.
• Strong Python backend/API experience.
• Frontend experience with React.
• Hands-on with LLMs: prompt/context engineering, RAG, multi-agent design.
• Experience with vector databases and data pipelines.
• Knowledge of evals, red-teaming, and AI safety practices.
• Experience building agentic AI solutions and tooling.
• Fluent English (B2+).

Responsibilities

• Own the end-to-end solution from architecture to production.
• Architect and build LLM-based integration via APIs, RAG, and tool orchestration.
• Develop backend services in Python and frontend in React.
• Create and reuse agents, skills, and commands to accelerate delivery.
• Validate with evals, tests, and red teaming before delivery.
• Review AI-generated outputs against requirements and quality standards.
• Define token economy decisions balancing quality and cost.
• Instrument observability in app and agent code.
• Lead design discussions and mentor peers.
• Collaborate with Deployment Engineer and Orchestrator for production readiness.
• Apply ethics, privacy, data security, and compliance rules.
• Ensure knowledge transfer and continuity of delivery.

Skills

Python backend

React frontend

LLM applications

RAG

Agentic SDLC

Vector databases

Observability

CI/CD

Tools

Azure

Job description

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.

Responsibilities

• 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

Requirements

• 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

Nice to Have

• 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 coursePartnerships 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.

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.