Senior Deployed AI Engineer – Gemini Enterprise

The role

You will design and build full-stack AI applications, including interfaces, services, and agentic systems. You will work embedded with clients to take AI products from idea to production using the Google AI stack.

What you will do

• Develop user-facing interfaces in TypeScript/React and backend services in Python or Node.
• Implement agentic behavior including orchestration, tool calling, memory, and guardrails.
• Build retrieval-augmented generation (RAG) pipelines.
• Connect AI systems to enterprise data and applications via APIs and protocols like MCP.
• Design and build agents with Gemini models, Vertex AI, ADK, and Agent Engine.
• Implement and configure Gemini Enterprise for clients.
• Write evaluation suites and regression tests for LLM-powered features.
• Deploy on cloud infrastructure using containers, serverless, and infrastructure-as-code.
• Communicate progress, trade-offs, and blockers to clients.
• Mentor junior engineers and support pre-sales by building demos and estimating effort.

Required qualifications

• 3–5 years of experience in software engineering or data engineering.
• Extensive hands-on use of AI tools and LLM-based development over the past year.
• Strong hands-on experience with the Google AI stack: Gemini models, Vertex AI, and ideally Gemini Enterprise or ADK.
• Strong programming skills in Python and TypeScript/JavaScript.
• Experience building and consuming APIs.
• Experience with front-end development (React or similar) and at least one backend framework.
• Hands-on experience with RAG, embeddings, and vector search.
• Experience with at least one agentic framework (Claude Agent SDK, LangGraph/LangChain).
• Strong working experience with GCP.
• Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.
• Experience building and maintaining data pipelines.
• Professional English proficiency (C1/C2 minimum).

Nice to have

• Azure or AWS
• Google Cloud Professional Machine Learning Engineer
• Experience with MCP servers, multi-agent patterns, or LLM evaluation tooling (LangSmith, Langfuse, promptfoo)
• Experience with Terraform or CI/CD pipelines
• Experience with GCP, BigQuery, or Google Workspace integrations alongside Gemini Enterprise

Benefits

• Meal (VR)
• Free Office (work from home or anywhere you want!)
• Gympass
• Insurance: Life, Health, and Dental
• Bi-monthly Meetings (workshops, lectures, training, and a happy hour!)
• Woba (book coworking spaces anywhere you want!)
• Semi-annual evaluations

Before you apply

• Obtaining a Google Cloud certification within your first 2 months in the role is a requirement.

About the company

Artefact is a next-generation data and AI consulting firm dedicated to accelerating the adoption of data and AI to create measurable business impact. They sit at the intersection of consulting, data science, AI technologies, data engineering, and digital transformation.