Senior AI Deployment Engineer — Gemini & Google Stack

VIVADATA

Utrecht

Hybrid

EUR 90,000 - 140,000

Full time

2 days ago
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Benefits offered by this job

Phone & travel reimbursements
Remote work allowance
Onefit membership discount
Hybrid work environment
Lunch program

Job summary

Artefact is seeking a Senior Deployed AI Engineer to join our applied AI team. You will design and build end-to-end AI products, interfacing with enterprise data, and deploying production-grade solutions for client projects.

You will work closely with clients, own components end-to-end, and leverage Gemini Enterprise, Vertex AI, and ADK to deliver scalable, grounded AI applications in a hybrid work setting.

Qualifications

  • 1–3 years of software or data engineering experience with hands-on AI tools.
  • Strong experience with Google AI stack: Gemini models, Vertex AI, and ADK.
  • Proficiency in Python and TypeScript/JavaScript with API development.
  • Frontend development (React) and at least one backend framework.
  • Hands-on with RAG, embeddings, vector search, and agentic frameworks.
  • Bachelor's or Master's in CS/Engineering or equivalent practical experience.

Responsibilities

  • Build full-stack AI applications from interface to infrastructure.
  • Develop interfaces, services, and APIs in Python/JS.
  • Design and deploy Gemini Enterprise agents and integration pipelines.
  • Establish production practices: tests, CI/CD, observability.
  • Collaborate with clients, communicate progress, and mentor juniors.
  • Contribute to accelerators, reusable components, and engineering standards.

Skills

Python
TypeScript/JavaScript
APIs
React
Data engineering
GCP / cloud
Gemini Enterprise / Vertex AI
Agentic tools

Education

Bachelor's or Master's in CS/Engineering or related

Tools

Gemini Enterprise
Vertex AI
ADK / Agent Engine
LangChain / LangGraph

Job description

Artefact is seeking a Senior Deployed AI Engineer to join our applied AI team. You will design and build end-to-end AI products, interfacing with enterprise data, and deploying production-grade solutions for client projects.

You will work closely with clients, own components end-to-end, and leverage Gemini Enterprise, Vertex AI, and ADK to deliver scalable, grounded AI applications in a hybrid work setting.

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