NLP Talent
NLP engineers turn unstructured text into structured, actionable data. Our specialists build custom entity extraction, sentiment analysis, document classification, and text generation systems that outperform generic APIs on your domain-specific tasks.
Every nlp engineers we place has been vetted for production-level expertise across these core competencies.
NLP requires understanding of linguistics, transformer architectures, and domain-specific challenges. These engineers know when to use fine-tuned models vs LLM APIs, how to build evaluation pipelines, and how to achieve production accuracy on specialized text processing tasks.
Aspect-based sentiment analysis pipeline that extracts specific product feedback from reviews and support tickets.
Custom NER model that extracts parties, dates, obligations, and clauses from legal documents.
Multi-label text classifier that flags toxic content, spam, and policy violations in real-time at scale.
Every NLP developer passes our multi-stage assessment: NLP-specific coding challenges, system design review, code quality audit, and cultural fit evaluation. Only the top 3% of applicants make it through. You interview pre-qualified nlp engineers — not resumes.
We present 2-3 qualified nlp engineers within 48 hours of your request. Our network includes 70+ NLP specialists with 3+ years average experience — no waiting weeks for recruiters to source candidates.
Our nlp engineers join your Slack, your standups, and your NLP codebase. They follow your coding standards, use your CI/CD pipeline, and attend your sprint ceremonies — fully embedded in your engineering team from day one.
We're not just a staffing agency — we've built 23+ production products including Agiled, Chatsy, and Morphed. Our nlp engineers bring that hands-on NLP production experience to your team, not just textbook knowledge.
Only 3% of applicants make it through. Every nlp engineers we place has passed all four stages.
We review NLP project history, GitHub contributions, open-source work, and production deployments to verify hands-on NLP experience.
Timed coding challenges covering Transformer Models (BERT, GPT, T5), Named Entity Recognition, Sentiment Analysis — plus system design problems that test real-world NLP architecture decisions.
A 60-minute live coding session where candidates build a feature using NLP alongside our senior engineers — testing code quality, debugging skills, and communication.
Soft skills evaluation focused on async communication, sprint collaboration, and the ability to integrate into your existing engineering team from day one.
Choose the model that fits your project needs. No long-term contracts — scale up or down as your project demands.
A nlp developer works exclusively on your project, 40 hours/week. Best for ongoing product development and long-term projects.
20 hours/week of dedicated nlp development. Ideal for startups, maintenance, or projects that don't need full-time capacity.
Fixed-scope nlp development with a defined timeline and deliverables. Best for specific features, migrations, or MVPs.
Multiple nlp developers join your existing team. Best for scaling quickly when you need to ship faster.
Beyond hiring nlp engineers, we offer these related services:
Common questions about hiring nlp engineers
We present 2-3 pre-vetted nlp engineers within 48 hours. After you interview and select, developers can start within 3-5 business days.
Get matched with pre-vetted nlp engineers in 48 hours. No long-term contracts. Replacement guarantee.