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14 часов назад

Senior AI Engineer (NLP)

Формат работы
remote (только Latin_america)
Тип работы
project
Грейд
senior
Английский
b2
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 (NLP): Designing, implementing, and maintaining production-grade AI services for Natural Language Query (NLQ) and AI agent workflows with an accent on improving NLQ accuracy and semantic understanding. Focus on building robust, scalable, and observable AI systems, evaluating their accuracy, and designing ontology-driven semantic models.

Location: Remote-Latin America

Company

hirify.global is the world’s work marketplace, serving everyone from one-person startups to over 30% of the Fortune 100 with a trust-driven platform.

What you will do

  • Design, implement, and maintain production-grade AI services supporting NLQ and AI agent workflows.
  • Evaluate NLQ system accuracy using quantitative and qualitative methods (precision/recall, semantic correctness, result equivalence).
  • Build automated evaluation pipelines and regression test suites integrated into CI/CD workflows.
  • Design and validate ontology-driven semantic models and knowledge graphs to improve NL answers accuracy and consistency.
  • Analyze NLQ failures and define structured error taxonomies, instrumentation, and logging for continuous improvement.
  • Develop and expose well-designed APIs for NLQ services, evaluation systems, and semantic layers.
  • Contribute to system architecture decisions and support cloud-native deployment, monitoring, and operational readiness of AI services.

Requirements

  • Strong software engineering background building production systems (Python, APIs, distributed services).
  • Experience evaluating NLQ or LLM-based systems, including precision/recall and semantic correctness.
  • Hands-on expertise designing automated test frameworks and evaluation pipelines.
  • Experience with cloud-native architectures, CI/CD, and production deployment of AI systems.
  • Knowledge of semantic modeling, ontologies, or knowledge graphs in data-driven applications.
  • Proven ability to design scalable, reliable systems bridging AI models, data platforms, and applications.

Culture & Benefits

  • Engage through hirify.global’s Hybrid Workforce Solutions (HWS) Team, a global group of professionals.
  • Work within a diverse and inclusive workforce.
  • Contribute to a platform enabling talent and companies to unlock their potential.

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