AI Platform Engineer

1 day, 16 hours ago
Full-time
Lead
DevOps and Infrastructure
Getnet

Getnet

Getnet is a global payment solutions provider and a subsidiary of PagoNxt, part of Santander's financial technology unit. Founded in 2003 in Porto Alegre, Brazil, Getnet has become the second-largest merchant acquirer in Latin America by transaction volume. The company operates in 35 countries, serving 1.3 million active merchants and processing €222 billion in total volume in 2024. Getnet focuses on secure and scalable payment processing, emphasizing innovation in digital payments, including e-commerce and mobile solutions. Getnet offers a wide range of payment processing tools, such as payment gateways, point-of-sale solutions, and e-commerce integration. Their services include real-time fraud management, customer analytics, and subscription billing. The Getnet Digital Platform and Getnet SEP provide unified payment solutions for various online platforms. The company supports a diverse clientele, including international companies, entrepreneurs, SMEs, and large merchants across retail, e-commerce, and services sectors. With over 6,200 payment experts and technological centers in multiple countries, Getnet is dedicated to enhancing payment experiences for businesses of all sizes.

financial services
5001-10000

Description

  • Define and lead the architecture of the corporate Generative AI platform.
  • Build and evolve the platform's strategic roadmap.
  • Design scalable architectures using LLMs, SLMs, RAG, and multi-agent systems.
  • Implement and optimize fine-tuning strategies for SLMs.
  • Enable self-service AI capabilities for product and engineering teams.
  • Create reusable frameworks, blueprints, and accelerators.
  • Implement CI/CD pipelines for AI solutions.
  • Ensure governance, security, observability, and regulatory compliance.
  • Integrate data, models, agents, and applications into a unified platform.
  • Define standards, best practices, and AI-specific SDLC processes for evaluation, testing, and deployment.
  • Act as a technical reference and foster cross-functional collaboration.
  • Implement agent engineering capabilities for observability, evaluation, and tracing.
  • Develop frameworks to continuously improve agent quality.
  • Enable no-code and low-code agents for broad business adoption.

Requirements

  • Solid experience with Generative AI, including LLMs, SLMs, and RAG architectures.
  • Hands-on experience with model fine-tuning, especially SLMs, and adaptation for specific use cases.
  • Strong background in architecture and building platforms at scale.
  • Experience with Azure AI Foundry.
  • Experience with Databricks Agent Bricks.
  • Experience defining AI SDLC processes for evaluation, monitoring, and deployment.
  • Experience with AI governance, security, and observability.
  • Ability to translate business needs into technical AI solutions.
  • Experience in regulated environments, such as financial services, is relevant.
  • Experience with LangChain, LangGraph, and CrewAI.
  • Experience with multi-agent architectures.
  • Knowledge of AI cost optimization.
  • Experience with advanced observability, including monitoring, tracing, and logging.
  • Prior experience in AI-driven digital transformation initiatives.
  • Advanced English.
  • Preferred: experience with Databricks Lakehouse, MLflow, and Model Serving.
  • Preferred: knowledge of MLOps/ModelOps and data engineering pipelines and ETL.
  • Preferred: experience with Docker, Kubernetes, and Terraform.
  • Preferred: knowledge of AWS Bedrock and Google Vertex AI.
  • Preferred: experience with SLM compression, distillation, and optimization strategies.

Benefits

  • Medical insurance.
  • Dental insurance.
  • Birthday day off.
  • Life insurance.
  • Transportation voucher.
  • Meal or food allowance.
  • Annual bonus.
  • Childcare assistance.
  • Christmas allowance.
  • Extended maternity and paternity leave.
  • Specialized personal support program (PAPE).
  • Access to a learning platform connected to LinkedIn Learning and O'Reilly.
  • Access to personal loans with below-market interest rates.

Interested in this position?

Apply directly on the company website

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