Forward Deployed Engineer (Generative AI)

The Forward Deployed Engineer (FDE) drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Google Cloud Platform(GCP). . You will bridge the gap between AI research and production-grade cloud infrastructure.

What you'll do:

• GCP & Vertex AI Architecture: Advanced knowledge of Vertex AI primitives , including Vertex AI Studio , Model Registry , Endpoint deployment , Vertex AI Pipelines (Kubeflow) , and Vertex AI Vector Search .
• AI Frameworks: Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face) optimized for GCP infrastructure.
• Vector Databases: Production experience setting up, optimizing, and querying Vertex AI Vector Search , or managed vector stores like Milvus , Pinecone , and pgvector (Cloud SQL/Spanner) .
• Model Operations (LLMOps): Proficiency in model serving frameworks ( vLLM , TGI , Triton Inference Server ) deployed via Vertex AI or GKE, alongside robust automated model evaluation pipelines.
• Containers & Kubernetes: Deep expertise in Google Kubernetes Engine (GKE) for managing GPU/TPU workloads , autoscaling, and scheduling.
• IaC & Automation: Mastery of Terraform to provision secure, complex GCP environments, IAM roles, and Vertex AI resources.

Full details and application on the official Tiger Analytics careers page.