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EY

Senior AI Developer

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Hybrid

São Paulo, SP, Brazil

Salary Range

Not informed

Full Time Employee

Experience Level

Senior

Requirements

3+ years of experience in the career
Agentes de IA
Inteligência artificial
APIs de LLMs
Multimodais
GenAI
Python

Tasks and Responsibilities

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AI Developer

At EY, we are committed to shaping your future with confidence.

We will help you succeed in a globally connected environment, full of diverse teams, and take your career wherever you want it to go.

Come to EY and help us build a better world of business.

About the opportunity:

In Financial Services (FSO), we are building a better world of business by supporting the needs and challenges of our clients in the financial sector (Capital Markets, Banks, Insurance, and Asset Management) through a single area/service line that unites our different specialties (Audit, Consulting, Technology, etc.) to serve this sector comprehensively and customarily. #FSOEY

You will assume the following responsibilities:

  • Test and validate data quality, conceptual robustness, technical implementation, transparency, and biases of Generative AI models.
  • Continuously evaluate the behavior of AI agents, ensuring predictability, consistency, and alignment with rules and context.
  • Develop and maintain a continuous monitoring framework for AI models and agents in production environments.
  • Support curation, recalibration, revalidation, and evolution processes of GenAI agents.

Requirements and skills we are looking for:

  • Degree in Computer Science, Information Technology, or a related field.
  • Solid experience with Generative AI Models (LLMs, Multimodal, and Agents).
  • Practical knowledge in: GenAI model evaluation (quality, bias, robustness, and security)
  • Analysis of AI agent behavior
  • Curation and revalidation of models Continuous monitoring of models in production
  • Experience with metrics and techniques such as: Golden Dataset Output evaluation Drift detection Prompt and response analysis
  • Programming in Python and familiarity with data and ML pipelines.
  • Knowledge of MLOps / LLMOps practices and observability.
  • Experience with technical documentation and structured communication.

Access go.ey.com/beneficios and learn about our benefits.

What we offer:

At EY, you develop skills geared toward the future and fuel yourself with world-class experiences. We will empower you in a flexible environment and enhance your extraordinary talents in a diverse and inclusive culture, with globally connected teams.

For the 4th consecutive year, EY is on the Great Place to Work list as one of the best companies to work for, with a highlight in diversity categories. You will be able to join our programs and groups that, together with numerous internal initiatives, support our constant pursuit of equity.

Would you like to shape your future with confidence? Apply today!

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