7 hours ago
Remote, BrazilMid Level
Responsibilities
- Design and develop generative AI services and multi-agent systems for a global platform.
- Implement RAG, tool-calling, multi-step reasoning, and agent-orchestration solutions.
- Integrate and operate models through LLM gateways and APIs.
- Develop LLMOps capabilities for monitoring, observability, evaluation, governance, and model lifecycle management.
- Implement usage measurement, chargeback, inference-cost optimization, and billing/metering data pipelines.
- Apply MLOps, CI/CD, automated testing, deployment, rollback, monitoring, and incident-response practices.
- Build and maintain batch and streaming data pipelines supporting platform billing and metering.
- Collaborate with global Product, Engineering, Platform, Security, and Data teams.
Requirements
- Experience in software engineering and applied AI.
- Practical experience delivering GenAI projects in production environments.
- Advanced English proficiency.
- Advanced Python and experience with cloud platforms, preferably AWS.
- Knowledge of GenAI, agentic AI, multi-agent orchestration, tool calling, multi-step reasoning, RAG, and prompt engineering.
- Experience with LangChain, LangGraph, LiteLLM, or equivalent frameworks and LLM gateways.
- Knowledge of model API integration, observability, LLM application evaluation, latency and performance optimization, vector databases, and retrieval mechanisms.
- Knowledge of LLMOps, MLOps, experiment tracking, reproducibility, automated testing, and deployment and rollback of AI services.
- Knowledge of data engineering, batch and streaming pipelines, Spark, lakehouse architectures, and data orchestration.
- Preferred experience with Kafka, event streaming, Terraform, infrastructure as code, Databricks, Delta Lake, DLT, internal developer platforms, and globally 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.