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1 час назад

Senior Data Engineer (AI)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Data Engineer (AI): Building transformative AI capabilities and data infrastructure for LLM-based and agentic systems with an accent on RAG implementation, vector/graph databases, and model integration. Focus on designing scalable MLOps/LLMOps pipelines and engineering context pipelines for forecasting and anomaly-detection models at customer scale.

Location: Remote (United States)

Company

hirify.global is an AI-infused scenario planning and analysis platform used by Fortune 50 companies to optimize business decision-making.

What you will do

  • Design and deploy scalable Generative AI and Machine Learning systems into production environments.
  • Develop end-to-end GenAI features, including backend API services, model monitoring, and evaluation frameworks.
  • Implement RAG architectures and optimize LLMs using prompt engineering for business planning use cases.
  • Build the retrieval and knowledge layer using vector databases, graph databases, and embedding pipelines.
  • Engineer feature and context pipelines for large-scale forecasting and anomaly-detection models.
  • Implement evaluation frameworks to measure accuracy, latency, and user satisfaction of AI features.

Requirements

  • Extensive data engineering experience delivering complex projects.
  • Hands-on experience shipping AI/ML products in production.
  • Practical expertise with RAG architectures, embedding pipelines, and LLM evaluation frameworks.
  • Proficiency in Python and modern software development practices including CI/CD, testing, and code review.
  • Strong expertise in MLOps and LLMOps for reliable and monitorable model deployments.
  • Must be based in the United States.

Nice to have

  • Experience with cloud-native ML infrastructure and model serving frameworks such as vLLM, TensorRT, or Ray.
  • Knowledge of vector databases like Pinecone, Weaviate, or Qdrant.
  • Background in forecasting, planning, or analytics applications.
  • Experience with model observability tools such as LangSmith, W&B, or MLflow.

Culture & Benefits

  • Winning Culture that champions diversity of thought and leadership regardless of title.
  • Deep commitment to diversity, equity, inclusion, and belonging (DEIB).
  • Opportunity to work with a market-leading platform used by global giants like Coca-Cola and Adobe.
  • Environment focused on professional development, strategy-led growth, and disciplined execution.

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