About this role
TVH seeks an experienced AI Platform Engineer to build the production-grade cloud infrastructure behind its enterprise, multi-agent AI systems. The role combines AI platform engineering, MLOps and DevOps to make agent infrastructure secure, scalable, reproducible and integrated with deployment pipelines. The posting lists Tvh Pune, India, and identifies the role as telecommute and full-time.
Responsibilities
- Design, provision and maintain cloud foundations for enterprise agents using Vertex AI Agent Builder and the Gemini Enterprise Agent Platform.
- Declare and manage 100% of platform infrastructure through Terraform, including Agent Engine runtimes, VPCs and Cloud Storage Data Stores.
- Build and maintain secure GitLab CI/CD pipelines for automated agent testing, deployment and configuration pinning.
- Configure data ingestion through Vertex AI Search and Data Stores to ground agents in enterprise data.
- Govern IAM, service accounts and cryptographic agent identities to secure tool use and data access. Implement logging, monitoring and tracing for agent reasoning while managing token and runtime costs.
Required skills:
- Hands-on experience with Vertex AI Agent Builder or Gemini Enterprise components such as Agent Studio, Agent Development Kit and Agent Engine.
- Advanced, modular Terraform skills; experience configuring GitLab pipelines with runners, staged environments, caching and automated tests.
- Knowledge of GCP architecture, including GKE, Cloud Run, VPC/Shared VPC, Identity-Aware Proxy and Cloud Storage. Strong programming skills in Python or Go; Python is preferred for Agent ADK work. The role overview also names Jenkins.
Preferred qualifications
Experience with LangChain, LlamaIndex or Google's native Agent SDK; familiarity with vector databases such as Vertex AI Vector Search, Pinecone or pgvector; or GCP Professional Cloud Architect or Professional DevOps/MLOps Engineer certification. TVH supplies parts and accessories for material handling, industrial vehicles, and construction and agricultural equipment.