T

Tiger Analytics

Delivers Data and AI transformation

Forward Deployed Engineer - Generative AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listed

About the Job

Requirements

  • Hands-on experience with LLM orchestration tools such as LangChain, LlamaIndex, or AutoGen, and deep learning frameworks such as PyTorch or Hugging Face.
  • Production experience setting up and querying vector stores such as Milvus, Pinecone, Qdrant, Chroma, or pgvector.
  • Proficiency in model-serving frameworks such as vLLM, TGI, or Triton Inference Server, and evaluation tools.
  • Advanced knowledge of cloud AI services including AWS Bedrock or SageMaker, Azure OpenAI, or GCP Vertex AI, and Kubernetes for GPU workloads.
  • Mastery of Terraform or OpenTofu for provisioning complex multi-cloud compute environments.
  • Strong coding skills in Python or Go, with an emphasis on writing clean, concurrent code.
  • Ability to manage customer expectations around LLM non-determinism, hallucinations, and performance trade-offs.
  • Willingness to travel to client sites for high-stakes, on-site deployment sprints.

Responsibilities

  • 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.
  • Build agnostic, resilient cloud deployments across AWS, Azure, and GCP using Infrastructure as Code.
  • Serve as the primary technical consultant, guiding enterprise clients on AI safety, prompt-engineering patterns, and inference-cost optimization.
  • Feed edge-case deployment insights back to AI research and platform engineering teams to improve product robustness.
  • Embed within customer engineering teams to operationalize large language models and retrieval systems across multi-cloud environments.
  • Collaborate with cross-functional teams and business partners to leverage analytical skills, ensure business value, and communicate results.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

Recently Posted Jobs

Explore more opportunities at Tiger Analytics

See more jobs