AI Data Engineer / Data Pipeline Engineer

HYR Global Source Inc • United State
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AI Summary

HyR Global Source Inc. is seeking an experienced AI Data Engineer / Data Pipeline Engineer to design, build, and maintain scalable data pipelines. The role involves close collaboration with AI/ML engineers and product teams. Strong Python programming expertise and hands-on experience with LangGraph and/or LangFuse are required.

Key Highlights
Design, build, and maintain robust data pipelines for AI and LLM workflows
Develop and optimize backend services and pipelines using Python
Collaborate with cross-functional teams to support model development, evaluation, and deployment
Key Responsibilities
Develop and optimize backend services and pipelines using Python
Integrate and manage LLM orchestration and observability tools such as LangGraph and/or LangFuse
Ensure data reliability, scalability, and performance across AI systems
Technical Skills Required
Python LangGraph LangFuse Data Pipelines ETL/ELT processes Backend Engineering
Benefits & Perks
Remote work (US Based)
USC, GC, EAD visa sponsorship
Nice to Have
Experience with cloud platforms (AWS, GCP, or Azure)

Job Description


Job Title: AI Data Engineer / Data Pipeline Engineer

Location: Remote(US Based)

Job Type: W2

Visa : USC , GC , EAD (No H1B,CPT ,OPT)

About The Role

We are looking for an experienced AI Data Engineer / Data Pipeline Engineer to design, build, and maintain scalable data pipelines that power AI and LLM-driven applications. In this role, you’ll work closely with AI/ML engineers and product teams to support experimentation, observability, and production-grade AI systems.

Responsibilities

  • Design, build, and maintain robust data pipelines for AI and LLM workflows
  • Develop and optimize backend services and pipelines using Python
  • Integrate and manage LLM orchestration and observability tools such as LangGraph and/or LangFuse
  • Ensure data reliability, scalability, and performance across AI systems
  • Collaborate with cross-functional teams to support model development, evaluation, and deployment
  • Monitor, troubleshoot, and improve existing pipelines and workflows

Required Skills & Qualifications

  • Strong Python programming expertise
  • Hands-on experience with LangGraph and/or LangFuse
  • Solid understanding of data pipelines, ETL/ELT processes, and backend engineering
  • Experience supporting AI/ML or LLM-based applications in production environments
  • Strong problem-solving skills and attention to detail
  • Ability to work effectively in a fully remote, distributed team

Nice to Have

  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Familiarity with data orchestration, monitoring, and logging tools
  • Background working with vector databases or LLM infrastructure

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