3 hours ago
Remote, BrazilMid Level
Responsibilities
- Design and develop Generative AI services and multi-agent systems.
- Implement RAG, tool-calling, multi-step reasoning, and agent orchestration solutions.
- Integrate and operate models through LLM gateways and APIs.
- Develop LLMOps practices for monitoring, observability, evaluation, and governance.
- Implement usage measurement, chargeback, and inference-cost optimization mechanisms.
- Build and maintain batch and streaming data pipelines supporting billing and metering.
- Apply MLOps, CI/CD, automated testing, model lifecycle management, deployment, and rollback practices.
- Handle incidents, monitoring, reliability, and continuous improvement for AI services.
- Collaborate with global Product, Engineering, Platform, Security, and Data teams.
Requirements
- Practical experience delivering Generative AI projects in production environments.
- Experience in software engineering and applied AI.
- Advanced English proficiency.
- Advanced Python knowledge and experience with AWS, preferably.
- Knowledge of GenAI, agentic AI, multi-agent orchestration, tool calling, multi-step reasoning, RAG, prompt engineering, and LangChain, LangGraph, or equivalent frameworks.
- Experience with LLMOps, LLM gateways such as LiteLLM, model API integration, observability, LLM application evaluation, latency optimization, vector databases, and retrieval mechanisms.
- Knowledge of MLOps, experiment versioning and tracking, CI/CD, automated testing, AI-service deployment and rollback.
- Knowledge of data pipelines, batch and streaming processing, Spark, Lakehouse architectures, and data orchestration.
- Preferred experience with Kafka, event streaming, Terraform, Infrastructure as Code, Databricks, Delta Lake, DLT, internal developer platforms, and global distributed environments.
Tech Stack
Categories
About Experian
Experian builds credit reporting, identity and fraud prevention, and data analytics software that help lenders, insurers, healthcare providers, and marketers make decisions; it also offers consumer credit monitoring and scores. The company earns via data licensing, decisioning software, and subscription services, operates in 30+ countries, is headquartered in Costa Mesa, California, and is a FTSE 100 public company listed on the London Stock Exchange (EXPN); it is one of the three major U.S. credit bureaus.