Description:

Tiger Analytics seeks a Forward Deployment Engineer (Generative AI) to drive on-site deployment and integration of enterprise Gen AI solutions.
The role involves operationalizing Large Language Models (LLMs) and retrieval systems across multi-cloud environments (AWS, Azure, GCP).

Requirements:

Hands-on experience with LLM orchestration tools (LangChain, LlamaIndex, AutoGen) and deep learning frameworks (PyTorch, Hugging Face).
Proficiency in setting up and querying vector databases (Milvus, Pinecone, Qdrant, Chroma, or pgvector).
Advanced knowledge of cloud AI primitives (AWS Bedrock/SageMaker, Azure OpenAI, GCP Vertex AI) and Kubernetes for GPU workloads.
Mastery of Terraform or OpenTofu for provisioning multi-cloud environments.
Strong coding skills in Python (preferred) or Go.
Ability to manage customer expectations regarding LLM performance and non-determinism.
Willingness to travel to client sites for deployment sprints.

Opportunity for significant career development in a fast-growing entrepreneurial environment.
High degree of individual responsibility in a collaborative team.

Skills