AI Platform Engineer – Specialist

🔥 1 hour ago

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Getnet

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🍽️ Food & Beverage

🏥 Healthcare

✈️ Travel

Food & Beverage • Healthcare • Travel

Getnet is a leading payment fintech operating across Latin America and Iberia that provides omnichannel, multicurrency payment processing, acquiring services, and developer-facing APIs. It supports in-store, online and mobile payments, value-added services (fraud prevention, P2PE, data analytics), and financial tools tailored for merchants, SMEs, enterprises and international companies, with local market support in Brazil, Mexico, Chile, Argentina, Uruguay, Spain and Portugal.

📋 Description

• Define and lead the architecture of the enterprise Generative AI platform • Build and evolve the strategic roadmap for the AI platform • Design scalable architectures with LLMs, SLMs (Small Language Models), RAG and multi-agent systems • Implement and optimize fine-tuning strategies for SLMs, including domain adaptation and resource-efficient approaches • 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 in a unified manner • Define standards, best practices and an AI-specific SDLC (evaluation, testing and deployment) • Serve as a technical reference and promote cross-functional collaboration • Implement an agent engineering platform for observability, evaluation and tracing • Develop frameworks for continuous quality improvement of agents • Enable no-code / low-code agents for scaled adoption by business teams

🎯 Requirements

• Strong experience with Generative AI, including LLMs, SLMs and RAG architectures • Hands-on experience with model fine-tuning (especially SLMs) and adapting models for specific use cases • Proven background in architecting and building platforms at scale • Experience with Azure AI Foundry • Experience with Databricks Agent Bricks • Experience defining an AI SDLC (evaluation, monitoring and deployment) • Experience with governance, security and observability in AI • Ability to translate business needs into technical AI solutions • Experience in regulated environments (e.g., financial services) is a plus • Experience with frameworks such as LangChain, LangGraph and CrewAI • Experience with agent-based architectures (multi-agent systems) • Knowledge of AI cost optimization • Experience with advanced observability (monitoring, tracing and logging) • Prior involvement in digital transformation initiatives driven by AI • Advanced English proficiency

🏖️ Benefits

• Health insurance • Life insurance • Dental plan • Hybrid, collaborative work model • Access to self-development programs • Transportation allowance • Meal allowance