Senior NLP Engineer - Remote, Equity + Unlimited PTO

Zest for Tech

United States

On-site

USD 150,000 - 240,000

Full time

11 days ago
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Benefits offered by this job

Fully covered healthcare
Unlimited PTO
Learning & development allowance
Equity

Job summary

Zest for Tech is seeking a Senior NLP Engineer to work remotely from the United States. You will design and deploy production-grade NLP systems, influence retrieval, embeddings, and LLM-based workflows, and collaborate with product teams to scale real-world applications.

Bring 2+ years of NLP in production, strong Python, experience with Hugging Face, PyTorch, Elasticsearch, and RAG techniques. The role offers a base up to $240k plus equity and comprehensive benefits.

Qualifications

  • 2+ years of NLP in production environments
  • Strong Python engineering skills and NLP/ML frameworks (e.g. Hugging Face, spaCy, NLTK, PyTorch, TensorFlow)
  • Hands-on experience with information retrieval and search technologies (vector embeddings, graph databases, elasticsearch)
  • Familiarity with RAG techniques and building LLM-powered applications

Responsibilities

  • Enhance search and retrieval systems using advanced NLP techniques
  • Build pipelines that process and analyse unstructured data - text, tables, and documents
  • Design and deploy entity extraction and text classification models
  • Improve context-aware systems by integrating embeddings, retrieval, and external data sources
  • Experiment with and fine-tune models to improve robustness and accuracy
  • Contribute to language models and agentic LLM applications tailored for real-world use

Skills

Python engineering
NLP frameworks
Information retrieval
RAG techniques
Production NLP

Tools

Hugging Face
spaCy
NLTK
PyTorch
Elasticsearch

Job description

Zest for Tech is seeking a Senior NLP Engineer to work remotely from the United States. You will design and deploy production-grade NLP systems, influence retrieval, embeddings, and LLM-based workflows, and collaborate with product teams to scale real-world applications.

Bring 2+ years of NLP in production, strong Python, experience with Hugging Face, PyTorch, Elasticsearch, and RAG techniques. The role offers a base up to $240k plus equity and comprehensive benefits.

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