Applied AI & LLM Systems Specialist

Coralswift; San Francisco (CA); On-site; USD 11,000 - 56,000; Full time

Benefits offered by this job

Premium medical insurance

Dental insurance

Optical insurance

Generous equity package

Stipend for AI research & hardware

Job summary

Coralswift is seeking an Applied AI & LLM Systems Specialist to help enterprises safely integrate cutting-edge Generative AI models into core operational workflows. You will architect enterprise RAG pipelines with vector databases (Pinecone, Qdrant) and fine-tune open-weight LLMs (Llama 3, Mistral) for proprietary domains, while building guardrails and evaluation metrics.

Premium medical, dental, and optical insurance, plus a generous equity package and a stipend for personal AI research &

Qualifications

• 4+ years in ML engineering, NLP, or deep learning systems.
• Expertise with PyTorch, vLLM, LangChain/LlamaIndex, and Hugging Face.
• Experience deploying GPU-accelerated inference in production (Kubernetes/TensorRT).
• Premium medical, dental, and optical insurance.
• Generous equity package.
• Stipend for personal AI research & hardware.

Responsibilities

• Architect enterprise RAG pipelines with vector databases (Pinecone, Qdrant).
• Fine-tune open-weight LLMs (Llama 3, Mistral) for proprietary enterprise domains.
• Build hallucination prevention guardrails and evaluation metrics.

Skills

ML engineering

NLP

Deep learning

PyTorch

vLLM

LangChain

LlamaIndex

Hugging Face

Kubernetes

TensorRT

Tools

Pinecone

Qdrant

Job description

Applied AI & LLM Systems Specialist

1,000 - 5,000 USD

About the Role & Mission

Help enterprises safely integrate cutting-edge Generative AI models into core operational workflows.

What You Will Do

Architect enterprise RAG pipelines with vector databases (Pinecone, Qdrant)

Fine-tune open-weight LLMs (Llama 3, Mistral) for proprietary enterprise domains

Build hallucination prevention guardrails and evaluation metrics

Qualifications & Requirements

4+ years in ML engineering, NLP, or deep learning systems

Expertise with PyTorch, vLLM, LangChain/LlamaIndex, and Hugging Face

Experience deploying GPU-accelerated inference in production (Kubernetes/TensorRT)

Premium medical, dental, and optical insurance

Generous equity package

Stipend for personal AI research & hardware

Hiring Process

• 30-Min Initial Scope & Culture Sync
• Architectural Deep Dive with Principal Engineer