AI Platform Engineer
- Posted 6 days ago
- Be among the first 20 applicants
Job Description
We are looking for an experienced AI Platform Engineer to bridge the gap between cutting-edge generative AI application design and production-grade cloud infrastructure. In this role, you won't just be vibe coding prompts—you will be architecting, securing, and scaling our enterprise AI agent infrastructure. The ideal candidate lives at the intersection of MLOps, DevOps, and Platform Engineering, with deep technical expertise in Google Cloud Platform (GCP), Terraform, Jenkins, GitLab CI/CD. You will own the infrastructure that powers our multi-agent orchestration systems, ensuring they are robust, reproducible, and seamlessly integrated into our deployment pipelines.
Key Responsibilities
Must-Haves
TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.
About Tvh
TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.
Key Responsibilities
- Architect AI Agent Infrastructure: Design, provision, and maintain the cloud foundations required for enterprise AI agents using Vertex AI Agent Builder (Gemini Enterprise Agent Platform).
- Infrastructure as Code (IaC): Maintain a strict IaC philosophy, ensuring 100% of the platform's infrastructure—from Agent Engine runtimes to VPCs and Cloud Storage Data Stores—is declared and managed via Terraform.
- Automate Everything: Build, optimize, and maintain robust, secure GitLab CI/CD pipelines for automated agent testing, deployment, and configuration pinning.
- Data & Grounding Management: Configure and optimize data ingestion pipelines (Vertex AI Search, Data Stores) to ground agents effectively on enterprise data.
- Security & IAM Governance: Own the complex IAM structures, Service Accounts, and cryptographic Agent Identities required to secure agent tool-calling and enterprise data access.
- Observability & Cost Optimization: Implement logging, monitoring, and tracing loops for agent reasoning, while keeping a sharp eye on token spend and runtime costs. Core Technical Requirements Must-Haves
- GCP AI Ecosystem: Hands-on experience with Vertex AI Agent Builder (or Gemini Enterprise Agent Platform components like Agent Studio, Agent Development Kit (ADK), and Agent Engine).
- Advanced Terraform: Deep knowledge of writing reusable, modular Terraform code to manage complex cloud environments, IAM policies, and managed services.
- CI/CD Expertise: Proven track record of configuring complex GitLab pipelines, utilizing runners, environment staging, caching, and automated testing blocks.
- Core GCP Architecture: Solid understanding of baseline GCP infrastructure, including GKE, Cloud Run, VPC/Shared VPC networking, Identity-Aware Proxy (IAP), and Cloud Storage.
- Scripting & Orchestration: Strong programming skills in Python (preferred for Agent ADK work) or Go.
Must-Haves
- GCP AI Ecosystem: Hands-on experience with Vertex AI Agent Builder (or Gemini Enterprise Agent Platform components like Agent Studio, Agent Development Kit (ADK), and Agent Engine).
- Advanced Terraform: Deep knowledge of writing reusable, modular Terraform code to manage complex cloud environments, IAM policies, and managed services.
- CI/CD Expertise: Proven track record of configuring complex GitLab pipelines, utilizing runners, environment staging, caching, and automated testing blocks.
- Core GCP Architecture: Solid understanding of baseline GCP infrastructure, including GKE, Cloud Run, VPC/Shared VPC networking, Identity-Aware Proxy (IAP), and Cloud Storage.
- Scripting & Orchestration: Strong programming skills in Python (preferred for Agent ADK work) or Go
- Experience with LLM frameworks like LangChain, LlamaIndex, or Google's native Agent SDK.
- Familiarity with vector databases (Vertex AI Vector Search, Pinecone, or pgvector).
- GCP Professional Cloud Architect or Professional DevOps/MLOps Engineer certifications
TVH is a global business with a family atmosphere, where people are at the center. We value clarity, mutual respect, kindness and open communication. Our people are down-to-earth, easy to work and engage with. We welcome differences and celebrate new ideas.
About Tvh
TVH is a parts specialist for quality parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment. Working at TVH is opting for a company that excels as an international market leader and is well-known for its unstoppable craving for innovation.
More Info
Key Skills
LangChain
Gemini Enterprise Agent Platform
GKE
pgvector
Vector databases
GitLab CI/CD
Pinecone
Vertex AI Agent Builder
Google Cloud Platform (GCP)
Agent Engine
Cloud Run
Agent Development Kit (ADK)
Shared VPC networking
Identity-Aware Proxy (IAP)
Agent Studio
LlamaIndex
Vertex AI Vector Search



