Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011

Description

  • Deploy, fine-tune, and optimize large-scale Generative AI models and LLM orchestration frameworks in customer cloud environments.
  • Architect scalable infrastructure for AI workloads using GPU/TPU orchestration, high-performance storage, and low-latency networking.
  • Design and implement high-throughput data ingestion pipelines and vector database architectures for Retrieval-Augmented Generation (RAG).
  • Build resilient, cloud-agnostic deployments across AWS, Azure, and GCP using Infrastructure as Code.
  • Serve as the primary technical consultant for enterprise clients on AI safety, prompt engineering patterns, and inference cost optimization.
  • Embed with customer engineering teams to drive on-site deployment, integration, and scaling efforts.
  • Collaborate with research and platform engineering teams by sharing deployment insights and edge cases to improve product robustness.
  • Troubleshoot issues across the full stack, from GPU drivers and infrastructure layers to prompt engineering logic.
  • Travel to client sites and lead high-stakes deployment sprints as needed.

Requirements

  • Hands-on experience with LLM orchestration tools such as LangChain, LlamaIndex, or AutoGen.
  • Experience with deep learning frameworks such as PyTorch and Hugging Face.
  • Production experience with vector databases such as Milvus, Pinecone, Qdrant, Chroma, or pgvector.
  • Proficiency with model serving frameworks such as vLLM, TGI, or Triton Inference Server, plus evaluation tools.
  • Advanced knowledge of AWS Bedrock/SageMaker, Azure OpenAI, or GCP Vertex AI.
  • Strong experience with Kubernetes for GPU workloads.
  • Mastery of Terraform or OpenTofu for provisioning complex multi-cloud compute environments.
  • Strong coding skills in Python, preferred, or Go, with an emphasis on clean, concurrent code.
  • Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs.
  • Willingness to travel to client sites for on-site deployment work.
  • Passion for keeping pace with rapid advancements in Generative AI.
  • Exceptional debugging ability across multiple software layers.
  • Experience in a fast-growing consulting or entrepreneurial environment is beneficial.

Benefits

  • Opportunity for significant career development in a fast-growing entrepreneurial environment.
  • High degree of individual responsibility and ownership.
  • Equal employment opportunity regardless of protected characteristics.

Interested in this position?

Apply directly on the company website

Apply Now

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