Senior Agentic AI Engineer (LLMs, RAG, GCP)

Insight Global (United States)

Dearborn (MI)

On-site

USD 120,000 - 180,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
HSA
FSA
DCFSA
401k matching
Paid time off

Job summary

Insight Global's client is seeking an AI Engineer to join its Supply Chain Analytics organization. This software engineering-focused role centers on Agentic AI, LLMs, RAG architectures, and cloud-native development.

You will design and build production-ready AI applications from product requirements. The ideal candidate has 5+ years in software engineering, strong Python skills, and hands-on experience with GCP Vertex AI, Gemini, BigQuery, and Tekton, plus experience deploying AI solutions in

Qualifications

  • 5+ years of Software Engineering experience.
  • Strong Python development experience.
  • Experience with Angular or React.
  • Git/version control experience.
  • Experience building production AI applications.
  • Hands-on Agentic AI experience.

Responsibilities

  • Build and support Agentic AI applications.
  • Design and develop AI agents and RAG solutions.
  • Integrate applications with GCP services including Vertex AI, Gemini, BigQuery, and Tekton.
  • Develop front-end and back-end application components.
  • Support AI orchestration, deployment, monitoring, and optimization.
  • Lead technical stories and implementation efforts.
  • Participate in architecture and design discussions.
  • Collaborate with Product Managers, TPMs, and Engineering teams.
  • Translate business requirements into production-ready AI solutions.

Skills

Python
Frontend: Angular/React
Git
Production AI
Agentic AI
Agent orchestration
RAG architectures
LLM integrations
frontier models / open-weight models
GCP experience

Education

Master's Degree in Computer Science/AI/Analytics

Tools

Vertex AI
Gemini
BigQuery
Tekton

Job description

Insight Global's client is seeking an AI Engineer to join its Supply Chain Analytics organization. This software engineering-focused role centers on Agentic AI, LLMs, RAG architectures, and cloud-native development.

You will design and build production-ready AI applications from product requirements. The ideal candidate has 5+ years in software engineering, strong Python skills, and hands-on experience with GCP Vertex AI, Gemini, BigQuery, and Tekton, plus experience deploying AI solutions in

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