Senior Data Engineer: Agentic AI & GCP Pipelines

Vibehackers

Hinoba-an

On-site

PHP 1,800,000 - 2,400,000

Full time

3 days ago
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Job summary

Vibehackers in the Philippines seeks a Senior Data Engineer to design, build, and operate production-grade batch and streaming data pipelines on Google Cloud Platform while integrating agentic AI capabilities to enable autonomous workflows.

You will work with LangChain, LlamaIndex, and other LLM frameworks to embed AI reasoning into data platforms, collaborating with cross-functional teams to scale data infrastructure on GCP.

Qualifications

  • 8+ years of experience in data engineering or platform engineering roles.
  • Strong proficiency in Python and Java.
  • Experience with Spring Boot, dbt, and Apache Spark.
  • Hands-on experience with Google Cloud Platform (GCP).
  • Proven experience building production-grade batch and streaming data pipelines.
  • Strong understanding of distributed data systems and analytical platforms.
  • Solid understanding of agentic AI principles: autonomous agents/workflows, tool calling, memory, and LLM-based reasoning in production.
  • Experience with LLM frameworks (LangChain, LlamaIndex, or custom agent frameworks).
  • Familiarity with prompt engineering, retrieval-augmented generation (RAG), and embeddings.

Responsibilities

  • Design and implement production-grade batch and streaming data pipelines.
  • Build and operate distributed data systems and analytical platforms.
  • Integrate LLM frameworks and agentic AI concepts into production systems.
  • Collaborate with platform and engineering teams to deploy and scale data infrastructure on GCP.

Skills

Python
Java
Distributed systems
Batch processing
Streaming data
Spark
GCP
LangChain
LlamaIndex
LLM concepts

Tools

Spring Boot
dbt
Google Cloud Platform

Job description

Vibehackers in the Philippines seeks a Senior Data Engineer to design, build, and operate production-grade batch and streaming data pipelines on Google Cloud Platform while integrating agentic AI capabilities to enable autonomous workflows.

You will work with LangChain, LlamaIndex, and other LLM frameworks to embed AI reasoning into data platforms, collaborating with cross-functional teams to scale data infrastructure on GCP.

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