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AI Engineer (GenAI Platform) - Mid Level (Brazil Based only)

Experian

Role overview

Qualifications

  • Experience in Software Engineering and Applied AI
  • Practical experience in GenAI projects in a production environment
  • Advanced English
  • Technical knowledge in GenAI and Agentic AI

Responsibilities

  • Design and develop Generative AI services and multi-agent systems
  • Implement RAG solutions, tool-calling, and agent orchestration
  • Integrate and operate models through LLM gateways
  • Develop LLMOps practices for monitoring, observability, and governance

Key facts

  • Remote from: Brazil
  • Full time
  • AI Engineer
  • English

Hard skills

Other skills

  • Collaboration

About the company

Experian logo

Experian

Debt Collection & Credit Services

Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 16,000 people in 37 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian. Read more at https://www.experianplc.com/careers/ Please note only shortlisted candidates will be contacted Our diverse workforce is part of the reason for our success. We want everyone to succeed, irrespective of their gender, ethnicity, sexuality, physical ability or age.

Company details

Company typeXLarge
IndustryDebt Collection & Credit Services
Company size10001

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Job description

Company Description

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.

Job Description

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.

Qualifications

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

Additional Information

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).

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