Brazil
Bunge
CI&T
[Job-32145] AI Engineer (Enabling Team), Brazil
Brazil
Brazil
AWSDocker
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About the opportunity
At CI&T, we help large companies transform AI potential 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 in over 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 AI Engineer passionate about cutting-edge software engineering, complex problem-solving, and empowering high-performance teams.
In this position, you will be part of the Enabling Squad, acting as a catalyst for Agentic SDLC transformation in one of Latin America's largest mobility companies.
If you have a solid background in software engineering, master agentic architectures, and want to transform how software is built at scale, this opportunity is for you!
Important: If you reside in the Metropolitan Region of Campinas, your presence in the city's offices will be mandatory, according to the current frequency policy.
#LI-RR2
At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your medical report during the selection process. Check what information needs to be included in the report by clicking here. docs.google.com/presentation/d/153s7miYnJ43nHm40UUirZQ2IsvhfhWDpXe1U3PJqap4/edit?slide=id.g2f2c8f5d204_159_0#slide=id.g2f2c8f5d204_159_0 Thus, we can ensure the support and adaptations you deserve. If you don't have the characterizing report yet, 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 all stages. Count on us to make this journey side by side.
Responsibilities
Enable processes, install technical engineering and artificial intelligence capabilities in pilot squads, and ensure the continuous evolution of the client's agentic development platform, preparing teams to operate with autonomy and high quality standards.
- Adoption and Enablement of the Agentic Framework: Ensure the adoption of the AI ecosystem and tools in pilot squads, acting as an Advisor and technical partner in the teams' day-to-day activities.
- Evolution of Workflow and Platform: Work alongside client engineers to identify frictions, bottlenecks, and improvement opportunities in the agentic solution, proposing and prioritizing the framework's evolutionary backlog.
- Co-creation of Agentic Solutions: Develop and refactor agentic flows, agent bundles, and automated instantiation of skills and repositories in partnership with the local team.
- Training in Harness Engineering and Evals: Train and mentor developers on best practices for AI usage, Harness Engineering parameterization, writing executable acceptance criteria (Gherkin/DoR), and creating Evals (automated evaluations).
- Installation of Capabilities and Quality Shift-Left: Install and mature software engineering technical capabilities in the squads — with a special focus on isolated component tests (WireMock and in-memory databases), integrated suites, and blocking validations in CI/CD.
- Support for Agentic Move to Production (MTP): Assist in structuring and validating automated deployment pipelines based on automated risk assessment scoring.
Requirements
Software Engineering Fundamentals
- Solid foundation in *Software Engineering
- Deep knowledge of software design principles: modularity, separation of concerns, testability, maintainability, resilience, and clean interfaces.
- Practical experience with Docker, CI/CD, test automation (unit, component, and e2e) and version control (Git/GitHub/Azure DevOps).
AI Engineering and Agentic Architectures
- Proven ability to design and deliver production-grade Generative AI and LLMs solutions.
- Practical mastery of Agentic AI and RAG patterns: tool use, function calling, orchestration, Human-in-the-Loop flows, and guardrails.
- Knowledge of Agentic SDLC, coding agents, refactoring/review agents, and integration with developer tools.
- Knowledge of multi-agent systems and long-running execution workflows.
- Mastery of retrieval strategies (embeddings, vector search, chunking, reranking) and corporate knowledge retrieval architectures (including familiarity with Knowledge Graphs or GraphRAG).
Frameworks, SDKs, and Providers
- Proficiency in AI frameworks or SDKs, such as LangGraph, LangChain, Semantic Kernel, LlamaIndex, OpenAI SDK, Strands, or similar.
- Practical experience with multiple LLM providers (OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, AWS Bedrock, etc.).
Evaluation, Observability, and Quality (Evals & Ops)
- Mastery of Evals and AI Observability: quality metrics, tracing, latency, token consumption, failure analysis, and cost management.
- Practical experience with observability and metrics platforms like Datadog LLM Observability, LangSmith, OpenTelemetry, or related solutions.
Preferred Qualifications
- Previous experience as an Enabler or technical mentor in digital transformation processes and AI adoption at scale.
- Experience in implementing Shift-Left Quality and Quality Built-In practices in CI/CD pipelines.
Our benefits
- Health and dental plan;
- Meal and food voucher;
- Childcare assistance;
- Extended parental leave;
- Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass;
- Profit Sharing (PLR);
- Life Insurance;
- Continuous learning platform (CI&T University);
- Discount club;
- Free online platform dedicated to promoting physical, mental health, and well-being;
- Pregnant and responsible parenting course;
- Partnership with online course platforms;
- Platform for language learning;
- And many others
More details about our benefits here: ciandt.com/br/pt-br/carreiras
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