Zest for Tech · 6 days ago
Natural Language Processing Engineer
Zest for Tech is a Series B backed startup focused on scaling advanced NLP systems. This role involves enhancing search systems, building data processing pipelines, and deploying NLP models at a critical growth phase.
Staffing & Recruiting
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
Qualification
Required
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
Preferred
experience training or fine-tuning proprietary models
developing complex agentic workflows
Benefits
Fully covered healthcare
Unlimited PTO
Annual allowance for learning and development
Company
Zest for Tech
We partner with high-growth US startups and scale-ups to help them build world-class AI/ML and software engineering teams.
Funding
Current Stage
Early StageCompany data provided by crunchbase