Senior Deployed AI Engineer — Gemini Enterprise

Artefact; Utrecht; Hybrid; EUR 110,000 - 150,000; Full time

Benefits offered by this job

Learning & Development

Culture of Celebration

Competitive rewards

Work-Life Balance

Daily lunch

Job summary

Artefact is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You will design interfaces, services, and retrieval pipelines, own your components end to end—from frontend to deployment—and collaborate across the full delivery lifecycle, including data engineering, cloud infrastructure, and client communication.

Qualifications

• 1–3 years of software or data engineering experience with practical AI tooling
• Hands-on experience with Google AI stack: Gemini models, Vertex AI, Gemini Enterprise
• Frontend development experience (React or similar) and at least one backend framework
• Experience with RAG, embeddings, and vector search; familiarity with agentic frameworks (ADK, LangChain)
• Strong experience with Google Cloud Platform (GCP); AWS/Azure a plus
• Bachelor's or Master's degree in CS/engineering or equivalent experience

Responsibilities

• Build full-stack AI applications from UI to backend
• Design and deploy Gemini-based agents and interfaces
• Implement retrieval-backed data pipelines and embeddings workflows
• Ensure production-grade quality: tests, monitoring, cost control
• Collaborate with clients and cross-functional teams throughout delivery lifecycle
• Mentor peers and contribute to internal accelerators

Skills

Front-end development (React)

Backend development

RAG & vector search

Agentic tools (ADK/LangGraph)

Gemini & Vertex AI

GCP / cloud infrastructure

CI/CD & observability

Client communication

Education

Bachelor's or Master's in CS/Engineering

Tools

Gemini models

Vertex AI

Gemini Enterprise

ADK

LangChain / LangGraph

Claude Code

Gemini CLI

Codex

Cursor

BigQuery

Job description

Artefact is seeking a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from idea to production.

You will design interfaces, services, and retrieval pipelines, own your components end to end—from frontend to deployment—and collaborate across the full delivery lifecycle, including data engineering, cloud infrastructure, and client communication.