工程专员 II
Engineering Specialist II
#### 公司简介
Experian 是一家全球数据和技术公司，为世界各地的个人和企业创造机会。我们在多个市场运营，包括金融服务、医疗保健、汽车、农业、保险等。Experian 投资于人才和先进的新技术，以释放数据的潜力。我们在 32 个国家拥有 25,200 名员工。
我们的独特之处在于重视你的价值。Experian 的以人为本、包容和以目标为导向的文化获得了众多奖项的认可，包括 2025 年《财富》全球最佳工作场所（Top 25）以及在 26 个国家获得的 Great Place To Work™ 等。请关注 Experian Life 的社交媒体或浏览我们的职业网站，了解原因。Experian 还自豪地成为一家平等机会雇主和积极行动雇主。
#### 职位描述
**职位描述**
我们正在寻找一名专注于人工智能的软件工程师，负责技术领导基于生成式 AI 和机器学习的解决方案建设，加速公司产品中智能技术的采用。
该专业人员将负责定义 AI 应用架构，技术领导战略项目，使用大语言模型（LLMs）开发可扩展的解决方案，并将 AI 服务集成到现有产品中，始终遵循软件工程、安全和治理的最佳实践。
我们期望一位在 Java 开发和云技术方面有扎实经验的专业人士，具备架构视野、强大的分析能力，并持续关注人工智能生态系统的演进。
日常职责
- 技术领导生成式 AI 项目和智能解决方案；
- 设计基于 LLMs、RAG 和 AI 代理的应用架构；
- 开发与 AI 和机器学习服务集成的 Java 应用程序；
- 与架构、产品、数据和工程团队合作推进解决方案的演进；
- 评估新技术、框架和 AI 模型；
- 定义基于 AI 的应用程序的开发标准；
- 确保智能解决方案的安全性、治理、可扩展性和可观测性；
- 技术支持其他工程师在产品中采用 AI；
- 为新的 AI 功能执行概念验证（POC）。
关键交付成果
- 使用生成式 AI 开发智能应用程序；
- 基于...
查看英文原文
#### Company Description
Experian is a global data and technology company that powers opportunities for people and businesses around the world. We operate in diverse markets, such as financial services, healthcare, automotive, agribusiness, insurance, among others. Experian invests in people and new advanced technologies to unlock the power of data. We have an incredible team of 25,200 employees in 32 countries.
Our uniqueness is valuing yours. Experian's people-centric, inclusive, and purpose-driven culture is recognized by numerous awards—including World’s Best Workplaces™ 2025 (Fortune's Top 25 global) 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 employer and affirmative action employer.
#### Job Description
**Job Description**
We are looking for a Software Engineer specializing in Artificial Intelligence to technically lead the construction of solutions based on Generative AI and Machine Learning, accelerating the adoption of intelligent technologies in the company's products.
This professional will be responsible for defining AI application architectures, technically leading strategic initiatives, developing scalable solutions using Large Language Models (LLMs), and integrating AI services into existing products, always aligned with best practices in software engineering, security, and governance.
We expect a professional with solid experience in Java development and Cloud, architectural vision, strong analytical skills, and continuous interest in the evolution of the Artificial Intelligence ecosystem.
Daily Responsibilities
- Technically lead Generative AI projects and intelligent solutions;
- Design architectures for applications based on LLMs, RAG, and AI agents;
- Develop Java applications integrated with AI and Machine Learning services;
- Work together with Architecture, Product, Data, and Engineering teams on the evolution of solutions;
- Evaluate new technologies, frameworks, and AI models;
- Define development standards for AI-based applications;
- Ensure security, governance, scalability, and observability of intelligent solutions;
- Technically support other engineers in the adoption of AI within products;
- Perform proofs of concept (POCs) for new AI capabilities.
Key Deliverables
- Development of intelligent applications using Generative AI;
- Architectures based on LLMs and multimodal models;
- Implementation of Retrieval-Augmented Generation (RAG) solutions;
- Development of intelligent agents (AI Agents);
- Integration of foundational models into company products;
- Evolution of AI platforms with a focus on scalability, cost, and performance;
- Definition of engineering standards for AI applications;
- Development of reusable components for AI consumption;
- Automation of processes using AI;
- Technical mentorship for engineering teams.
#### Qualifications
**Qualifications**
- What we are looking for in you
Software Engineering
- Solid experience in Java 17+;
- Spring Boot;
- Microservices;
- REST APIs;
- GraphQL;
- Automated testing (JUnit, Mockito);
- Design Patterns;
- SOLID;
- Clean Architecture;
- Domain Driven Design (DDD);
- Event Driven Architecture;
- CI/CD (Jenkins, GitHub Actions);
- Docker;
- Kubernetes.
- Practical experience with Generative AI;
- Large Language Models (LLMs);
- Prompt Engineering;
- Retrieval-Augmented Generation (RAG);
- AI Agents;
- MCP (Model Context Protocol);
- OpenAI API, Azure OpenAI, or Amazon Bedrock;
- LangChain, LangGraph, or similar frameworks;
- Embeddings and vector databases (Pinecone, OpenSearch, pgvector, Weaviate, ChromaDB);
- Fine-tuning and model evaluation (when applicable);
- Knowledge of Responsible AI, governance, and security for AI;
- Model evaluation, metrics, and cost and performance optimization.
#### Additional Information
Serasa Experian is much more than you imagine. With the purpose of creating a better tomorrow, expanding opportunities for people and businesses, in Brazil we are more than 4,000 people working in diverse teams and specialties. Here, each knowledge and diversity complements each other and you can work on what you love most. We are committed to building an inclusive culture and an environment in which people can balance their career with their personal commitments and interests, valuing well-being.
We are very dedicated to being one of the best and most innovative companies to work for in the country, enabling incredible experiences and careers for our people. Our strong people-first approach is recognized externally through various market certifications: we have been awarded by Great Place To Work™ in 24 countries and by the international Top Employers certification, in addition to being recognized as one of the best companies for young professionals and having a 4.6 rating on Glassdoor. Each recognition indicates that we are on the right path, providing an increasingly better work environment for our talent.
Experian Careers - Creating a better tomorrow together
[Find out what its like to work for Experian by clicking here](https://www.experian.com/careers/)