Description:

Join Tiger Analytics as a Forward Deployed Engineer (Generative AI) to drive the deployment and integration of enterprise Generative AI solutions.
Collaborate with customer engineering teams to operationalize Large Language Models (LLMs) 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 model serving frameworks (vLLM, TGI, Triton Inference Server) and advanced knowledge of cloud AI primitives (AWS, Azure, GCP).
Strong coding skills in Python (preferred) or Go, with a focus on clean, concurrent code.
Ability to manage customer expectations around LLM non-determinism and performance trade-offs.

Opportunity for significant career development in a fast-growing entrepreneurial environment.
High degree of individual responsibility and the chance to work with Fortune 500 companies.

Skills