Staff Augmentation

Hire NLP Engineers

Hire vetted NLP Engineers through Hevcode: fully remote, starting in 48 hours, with timezone-overlap working hours and a risk-free trial. 534+ projects shipped over 6 years.

Get skilled NLP engineers to build transformer models, NER pipelines, text classifiers, and fine-tuned LLMs. Production-ready language AI. Start within 48 hours.

Prefer email? Reach me at contact@hevcode.com.

534+ projects delivered | 273+ verified reviews | Start in 48 hours

Last updated: June 2026

Looking to hire NLP engineers who can take language models from notebook to production? Our engineers build real text systems: entity extraction, document classification, sentiment analysis, semantic search, and fine-tuned transformers that hold up on messy real-world data.

The hard part of NLP is rarely the model architecture. It is dirty text, ambiguous labels, domain drift, multilingual edge cases, and the gap between a 92% benchmark and a system that actually works on your data. Our engineers have shipped pipelines that handle all of it, with proper evaluation, not vibes.

Whether you need someone to fine-tune a transformer on your domain, build an NER pipeline, or stand up a text classification service end to end, we offer flexible engagement models matched to your data and roadmap.

Technical Skills

Our developers are proficient in these technologies and more

Core NLP

  • Transformers (BERT, RoBERTa, T5)
  • Named entity recognition (NER)
  • Text classification and intent detection
  • Sentiment and emotion analysis
  • Tokenization and text preprocessing
  • spaCy and Hugging Face Transformers

Embeddings and Retrieval

  • Sentence embeddings (SBERT)
  • Semantic search and ranking
  • Vector databases (Pinecone, Weaviate, FAISS)
  • Topic modeling and clustering
  • Multilingual embeddings
  • Similarity and deduplication

LLM and Fine-Tuning

  • LLM fine-tuning and LoRA/PEFT
  • Instruction tuning
  • Domain adaptation
  • Quantization and distillation
  • Hugging Face Trainer and Accelerate
  • Dataset curation and labeling strategy

MLOps and Deployment

  • Model evaluation (F1, precision/recall, BLEU)
  • PyTorch and TensorFlow
  • Inference serving (ONNX, TorchServe, Triton)
  • GPU optimization and batching
  • Pipeline orchestration
  • Monitoring for drift and degradation

Why Hire Through Us

Benefits of hiring developers through Hevcode

Evaluation-Driven Engineers

Our NLP engineers ship with rigorous metrics and held-out test sets, not benchmark numbers that fall apart on your real data.

Pre-Vetted Experts

Every NLP engineer passes technical assessments and has shipped production language models handling real text at scale.

Quick Onboarding

Start working with your NLP engineer within 48 hours. No long recruiting cycle for scarce ML talent.

Direct Communication

Work directly with the engineer building your models. No translators between you and the data science.

Timezone Overlap

We ensure 4+ hours of overlap with your timezone for live data reviews and model discussions.

Risk-Free Trial

Start with a 1-week risk-free trial. If the fit is not right, you pay nothing.

Engagement Models

Flexible hiring options to match your needs

Dedicated Engineer

A full-time NLP engineer working exclusively on your language systems, from data pipelines and labeling strategy to fine-tuning and deployment.

Ideal for: Companies building NLP as a core product, ongoing model improvement work

Development Team

A complete team with NLP engineers, a data engineer, and an MLOps specialist for end-to-end language AI delivery.

Ideal for: Complex NLP products, search and classification platforms, multilingual systems

Hourly/Part-Time

Flexible hours for a specific model, an evaluation audit, a fine-tuning run, or NLP consulting. Pay only for time worked.

Ideal for: Proof of concepts, model audits, fine-tuning sprints, technical consulting

Hiring Process

Simple 4-step process to get your developer

1

Share Requirements

Tell us about your text data, the task (classification, NER, search, generation), your accuracy targets, and constraints. We scope what the model and data realistically require.

2

Developer Matching

Within 24 hours, we present 2-3 pre-vetted NLP engineers matched to your domain and stack, with relevant model work and availability.

3

Interview and Select

Interview the candidates, discuss their evaluation approach and past NLP systems, and select the engineer who fits your project.

4

Start Building

Your engineer joins within 48 hours. We set up data access, environments, and kick off the NLP work.

Frequently Asked Questions

Common questions about hiring developers

What experience level do your NLP engineers have?

Our NLP engineers have 4-8+ years in machine learning with deep focus on natural language. They are fluent in transformers, Hugging Face, PyTorch, and have shipped production NER, classification, and fine-tuned LLM systems with proper evaluation.

How quickly can an NLP engineer start on my project?

We can have an engineer onboarded within 48 hours of selection. For urgent work like a model audit or a fine-tuning sprint, we can often expedite to 24 hours.

What if the engineer is not the right fit?

We offer a 1-week risk-free trial. If you are not satisfied with the work or fit, we replace the engineer at no cost or provide a full refund. After the trial, replacements are available with 1-week notice.

Do your engineers work in my timezone?

We ensure a minimum 4-hour overlap with your working hours for live data reviews and model discussions. Many of our engineers adjust schedules to maximize overlap with US and EU hours.

How do you ensure quality in NLP work?

Our engineers define held-out test sets, track the right metrics (F1, precision/recall, not just accuracy), guard against data leakage, and validate on your real text before claiming results. We treat evaluation as part of the deliverable, not an afterthought.

Can I hire a full team for a language AI product?

Yes. We provide complete teams with NLP engineers, data engineers, and MLOps specialists for end-to-end delivery. Teams scale from 2 to 8+ members based on data volume and product complexity.

Ready to Hire NLP Engineers?

Get matched with expert NLP engineers in 24 hours. Build production language AI starting in 48 hours.

Or email contact@hevcode.com.

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