ExperianAI Engineer (GenAI Platform) - Mid Level (Brazil Based only)
AI in this role
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate across a wide range of markets, including financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and in advanced new technologies to unlock the power of data. We have an incredible team of 25,200 employees across 32 countries.
Our uniqueness is valuing yours. Experian’s people-centric, inclusive, and purpose-driven culture has been recognized with several awards — including World’s Best Workplaces™ 2025 (Fortune Global Top 25) and Great Place To Work™ in 26 countries, among others. Check out Experian Life on social media or explore our careers site to understand why. Experian is also proud to be an equal opportunity and affirmative action employer.
Estamos em busca de um(a) AI Engineer (GenAI Platform) para atuar na evolução da nossa plataforma global de Inteligência Artificial Generativa.
Essa posição terá papel fundamental no design, desenvolvimento e operação de serviços de IA que suportam times de engenharia e produto em diversos países, permitindo a criação de soluções baseadas em GenAI de forma escalável, segura, observável e eficiente em custos.
O foco da função é o desenvolvimento de capacidades de IA Generativa em nível de plataforma, incluindo sistemas agentic, integração de modelos, LLMOps e governança de custos. Não se trata de uma posição voltada para treinamento ou fine-tuning de modelos do zero.
Principais responsabilidades
- Projetar e desenvolver serviços de IA Generativa e sistemas multiagentes.
- Implementar soluções de RAG (Retrieval-Augmented Generation), tool-calling e orquestração de agentes.
- Integrar e operar modelos através de gateways LLM.
- Desenvolver práticas de LLMOps para monitoramento, observabilidade e governança.
- Implementar mecanismos de medição de consumo, chargeback e otimização de custos de inferência.
- Construir e manter pipelines de dados que suportem processos de billing e metering.
- Aplicar práticas de MLOps, CI/CD, testes automatizados e gestão de ciclo de vida de modelos.
- Atuar em incidentes, monitoramento, confiabilidade e melhoria contínua dos serviços.
- Colaborar com times globais de Produto, Engenharia, Plataforma, Segurança e Dados.
Requisitos obrigatórios
- Experiência em Engenharia de Software e IA Aplicada.
- Experiência prática em projetos de GenAI em ambiente produtivo.
- Inglês avançado.
Conhecimentos técnicos em:
GenAI e Agentic AI
- Multi-agent orchestration
- Tool calling
- Multi-step reasoning
- RAG
- Prompt Engineering
- LangChain, LangGraph ou frameworks equivalentes
LLMOps e Plataformas
- Gateways LLM (LiteLLM ou similares)
- Integração de modelos via APIs
- Observabilidade
- Avaliação de aplicações baseadas em LLM
- Otimização de latência e performance
- Vector databases e mecanismos de retrieval
Linguagens e Cloud
- Python avançado
- AWS (preferencial)
- Boas práticas de arquitetura, observabilidade e reprodutibilidade
MLOps
- Versionamento e rastreamento de experimentos
- CI/CD
- Testes automatizados
- Deployment e rollback de serviços de IA
Data Engineering
- Conhecimento em pipelines de dados
- Batch e streaming
- Spark e arquiteturas Lakehouse
- Orquestração de dados
Diferenciais
- Kafka e Event Streaming
- Terraform e Infrastructure as Code
- Databricks (Delta Lake e DLT)
- Experiência com plataformas internas para desenvolvedores
- Atuação em ambientes globais e distribuídos
At Serasa Experian, we believe that diversity is essential for a healthier and more innovative work environment, where everyone can share experiences and express their ideas. That’s why we promote several initiatives to support inclusive recruitment and the professional development of our people.
We also have our affinity groups, created to empower and support individuals from underrepresented groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
AI Engineer (GenAI Platform) - Mid Level (Brazil Based only) at Experian rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, RAG, Fine Tuning, ML Ops, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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