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2 дня назад

Senior AI Engineer (Fintech)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Brazil
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior AI Engineer (Fintech): Building and scaling AI-powered products for customer interaction and internal operations with an accent on LLMs, generative AI, and RAG. Focus on productionizing reliable AI solutions for risk monitoring, fraud detection, and customer onboarding.

Location: Hybrid in Rio de Janeiro, Brazil

Company

hirify.global is a payment and software service provider serving small businesses across Europe, focusing on integrated tools to boost business performance.

What you will do

  • Design, develop, and deploy AI-powered features and services to solve real customer and business challenges.
  • Build and integrate systems using LLMs, generative AI, retrieval-augmented generation (RAG), agents, and automation workflows.
  • Develop production-grade AI solutions with a strong focus on quality, scalability, observability, and security.
  • Build data pipelines, model integrations, APIs, and services to enable AI capabilities across products.
  • Improve AI reliability through prompt engineering, model evaluation, monitoring, and feedback loops.
  • Contribute to AI engineering standards, best practices, and reusable frameworks.

Requirements

  • Strong software engineering experience with proficiency in Python and Java.
  • Hands-on experience developing AI/ML-powered applications and deploying them into production.
  • Deep understanding of modern AI concepts: LLMs, Generative AI, Prompt Engineering, Embeddings, and RAG.
  • Experience with AI tooling and frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, TensorFlow, or PyTorch.
  • Experience with cloud platforms and modern engineering practices (CI/CD, APIs, infrastructure as code).
  • Must be based in Rio de Janeiro, Brazil (Hybrid).

Nice to have

  • Experience in regulated industries such as payments, fintech, banking, or fraud prevention.
  • Knowledge of ML operations (MLOps), model lifecycle management, and governance.
  • Experience with document intelligence, anomaly detection, or personalization systems.
  • Contributions to AI communities, open-source projects, or technical research.

Culture & Benefits

  • High-energy and connected culture with a supportive community.
  • Opportunities for continuous learning and professional growth.
  • Comprehensive benefits package.
  • Inclusive environment committed to equal opportunity for all backgrounds.

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