Remote Data & AI Architecture Lead

TRG Tech Research Group Limited

United States

On-site

USD 150,000 - 210,000

Full time

14 days+
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Job summary

TRG Tech Research Group Limited is seeking a full-time remote Data & AI Technical Lead to co-own the technical architecture and system design, lead the development of data and AI flows, and drive technical initiatives from design through production in close collaboration with cross-functional teams.

You will mentor engineers, uphold engineering standards, and ensure high-quality code and documentation practices while delivering scalable data pipelines and AI integrations across our platforms.

Qualifications

  • Strong Python engineering background with data pipelines and AI integrations.
  • Data architecture experience, including schema design and pipeline architecture.
  • Solid understanding of AI systems design, particularly with LLMs and multi-agent systems.
  • Hands-on experience with FastAPI or equivalent for backend and API development.
  • Experience in designing and operating event-driven architectures in production.

Responsibilities

  • Co-own technical architecture and system design with the Principal Data Engineer, covering data pipelines and AI flows.
  • Lead the design and implementation of data ingestion, transformation, and consumption processes across systems.
  • Mentor engineers and uphold engineering standards, ensuring high-quality code and documentation practices.

Skills

Python engineering
Data pipelines
AI integrations
LLM systems design
Backend/API development
Event-driven architectures
Mentoring engineers

Tools

FastAPI

Job description

TRG Tech Research Group Limited is seeking a full-time remote Data & AI Technical Lead to co-own the technical architecture and system design, lead the development of data and AI flows, and drive technical initiatives from design through production in close collaboration with cross-functional teams.

You will mentor engineers, uphold engineering standards, and ensure high-quality code and documentation practices while delivering scalable data pipelines and AI integrations across our platforms.

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