Job detail for AI Engineer (GenAI Platform)

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

We are looking for an AI Engineer (GenAI Platform) to work on the evolution of our global Generative Artificial Intelligence platform.

This position will play a fundamental role in the design, development, and operation of AI services that support engineering and product teams in various countries, enabling the creation of GenAI-based solutions that are scalable, secure, observable, and cost-efficient.

The focus of the role is the development of platform-level Generative AI capabilities, including agentic systems, model integration, LLMOps, and cost governance. This is not a position focused on training or fine-tuning models from scratch.

Key

• Design and develop Generative AI services and multi-agent systems.
• Implement RAG (Retrieval-Augmented Generation), tool-calling, and agent orchestration solutions.
• Integrate and operate models via LLM gateways.
• Develop LLMOps practices for monitoring, observability, and governance.
• Implement consumption measurement, chargeback, and inference cost optimization mechanisms.
• Build and maintain data pipelines that support billing and metering processes.
• Apply MLOps, CI/CD, automated testing, and model lifecycle management practices.
• Handle incidents, monitoring, reliability, and continuous service improvement.
• Collaborate with global Product, Engineering, Platform, Security, and Data teams.

Qualifications

Mandatory requirements

• Experience in Software Engineering and Applied AI.
• Practical experience with GenAI projects in a production environment.
• Advanced English.

Technical knowledge in:

GenAI and Agentic AI

• Multi-agent orchestration
• Tool calling
• Multi-step reasoning
• RAG
• Prompt Engineering
• LangChain, LangGraph, or equivalent frameworks

LLMOps and Platforms

• LLM Gateways (LiteLLM or similar)
• Model integration via APIs
• Observability
• Evaluation of LLM-based applications
• Latency and performance optimization
• Vector databases and retrieval mechanisms

Languages and Cloud

• Advanced Python
• AWS (preferred)
• Best practices for architecture, observability, and reproducibility

MLOps

• Versioning and experiment tracking
• CI/CD
• Automated testing
• Deployment and rollback of AI services

Data Engineering

• Knowledge of data pipelines
• Batch and streaming
• Spark and Lakehouse architectures
• Data orchestration

Preferred qualifications

• Kafka and Event Streaming
• Terraform and Infrastructure as Code
• Databricks (Delta Lake and DLT)
• Experience with internal developer platforms
• Experience working in global and distributed environments

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 groups: ExperianPride (LGBTQIAPN+ community), Ubuntu (racial equity), Women in Experian (gender equity), Aspire (people with disabilities), and Connecting Generations (generations).

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