Natural Language Processing Engineer

Zest for Tech is a Series B backed startup focused on scaling their advanced NLP systems. They are seeking a Senior NLP Engineer to enhance search and retrieval systems, build data processing pipelines, and contribute to language models at a pivotal growth stage.

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

Requirements:

• Strong Python engineering skills and experience with 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
• ~2+ years working with NLP in production environments
• Solid understanding of how to take models from prototype to scalable systems
• experience training or fine-tuning proprietary models
• developing complex agentic workflows