AI Data Engineer / Data Pipeline Engineer
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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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
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- 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
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- 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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