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Full Time Nlp Engineer Jobs (NOW HIRING)

Svitla Systems, Inc.

Lead AI Engineer

$104K - $138K/yr

Svitla Systems Inc. is looking for a Lead AI Engineer for a full-time position (40 hours per week) in the USA. Our client is dedicated to using AI and NLP to eliminate human labor from all prior ...

Veryon

Senior Software Engineer (AI/ML)

$125K - $165K/yr

Job Type Full-time Description About Veryon Veryon is the leading global provider of aviation ... Enhance NLP clustering algorithms using Generative AI (LLMs, embeddings, semantic clustering)

Propio Language Services

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Job Type Full-time Description Propio Language Services is a provider of the highest quality ... Familiarity with multilingual NLP, speech data, translation data, low-resource languages ...

Lyric

Lead AI Engineer

$216K - $324K/yr

Develop NLP pipelines leveraging techniques such as OCR, entity recognition, text classification ... The US base salary range for this full-time position is: $216,417.00 - $324,625.00 The specific ...

Cyrten

Data Scientist / Engineer

Spring, TX · On-site

... Matter Expert16+ Full Time: Direct Hire No 3rd Party Vendors - No exceptions Note: Available ... Processing (NLP) problems. - Utilize LLMs to triage unstructured text and extract relevant ...

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Full Time Nlp Engineer information

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$59.5K

$111.6K

$203K

How much do full time nlp engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for full time nlp engineer in the United States is $111,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are some common challenges Full Time NLP Engineers face when deploying language models in production environments?

Full Time NLP Engineers often encounter challenges such as ensuring model scalability, managing latency for real-time applications, and maintaining data privacy. Additionally, handling diverse and noisy real-world data can require constant model updates and monitoring for bias or drift. Collaborating closely with data engineers, product managers, and DevOps teams is essential to streamline deployment, monitor system health, and address issues as they arise.

What is a Full Time NLP Engineer?

A Full Time NLP (Natural Language Processing) Engineer is a technology professional who designs, builds, and maintains systems that allow computers to understand, interpret, and generate human language. This role typically involves working with large datasets, developing machine learning models, and applying linguistic algorithms to solve problems such as text classification, sentiment analysis, language translation, and chatbot development. NLP Engineers collaborate with data scientists, software engineers, and product teams to integrate language technologies into various applications. Being employed full time means they are dedicated to this role as their primary occupation, usually working a standard workweek for a single company or organization.

What are the key skills and qualifications needed to thrive as a Full Time NLP Engineer, and why are they important?

To thrive as a Full Time NLP Engineer, you need expertise in natural language processing, machine learning, programming (Python), and a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, NLTK, spaCy, and experience with cloud platforms are commonly required, along with relevant certifications. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for building robust NLP solutions, collaborating cross-functionally, and staying current in a rapidly evolving field.

What is the difference between Full Time Nlp Engineer vs Data Scientist?

AspectFull Time Nlp EngineerData Scientist
Required CredentialsBachelor's or Master's in Computer Science, NLP, or related fields; experience with NLP toolsBachelor's or Master's in Data Science, Statistics, or related fields; programming skills
Work EnvironmentTech companies, research labs, AI startups focusing on NLP projectsVarious industries including finance, healthcare, marketing, analyzing data sets
Employer & Industry UsagePrimarily in AI, NLP, and machine learning teamsAcross industries for data analysis, predictive modeling, and insights

Full Time Nlp Engineers focus specifically on developing NLP models and algorithms, while Data Scientists work broadly with data analysis and modeling across various domains. Both roles require programming skills and a strong understanding of data, but Nlp Engineers specialize in language processing tasks.

More about Full Time Nlp Engineer jobs
What cities are hiring for Full Time Nlp Engineer jobs? Cities with the most Full Time Nlp Engineer job openings:
What are the most commonly searched types of Nlp Engineer jobs? The most popular types of Nlp Engineer jobs are:
What states have the most Full Time Nlp Engineer jobs? States with the most job openings for Full Time Nlp Engineer jobs include:
What job categories do people searching Full Time Nlp Engineer jobs look for? The top searched job categories for Full Time Nlp Engineer jobs are:
Full Time Nlp Engineer jobs near you
Infographic showing various Full Time Nlp Engineer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $111,632 per year, or $53.7 per hour.
Python NLP Developer (LLM & GPT APIs) - Q125

Python NLP Developer (LLM & GPT APIs) - Q125

R2 Technologies Corporation

Alpharetta, GA • On-site

$49 - $67.50/hr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

Overview:
R2 Technologies Corporation (R2), headquartered in Alpharetta, GA, is a leading IT services provider specializing in Java, .NET, Big Data, Cloud Computing (AWS, GCP, Azure), Artificial Intelligence (AI), Machine Learning (ML), software development, project management, SAP, and enterprise resource planning (ERP). We empower clients-from startups to Fortune 1000 companies-with scalable, platform-based solutions and data-driven insights using modern cloud technologies. Our commitment to blending highly skilled talent with innovative productivity platforms ensures rapid delivery of business value, making us one of the most respected and trusted technology companies in the United States. At R2, we're passionate about driving operational excellence and competitive advantage for our clients through cutting-edge AI, ML, and cloud solutions. Join our team and help shape the future of technology innovation!
Python NLP Developer (LLM & GPT APIs)
Location: Alpharetta, GA (willing to travel to client locations)
Employment Type: Full-Time (W2)
Role Overview
We are seeking a specialized Python NLP Developer to build natural language processing solutions using LLMs and GPT APIs. This role focuses on leveraging Python with Hugging Face or OpenAI APIs for advanced NLP applications.
Key Responsibilities
  • Develop NLP solutions using Python with LLMs and GPT APIs for text processing and generation.
  • Integrate transformer models from Hugging Face or OpenAI API into production applications.
  • Design and optimize NLP pipelines for tasks like sentiment analysis, text summarization, or chatbots.
  • Collaborate with data teams to preprocess and refine datasets for NLP model training.
  • Ensure performance and scalability of NLP applications in real-world use cases.
  • Monitor and improve NLP model accuracy and responsiveness over time.

Required Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • 3 years of experience as a Python developer with a focus on NLP and transformer models.
  • Proficiency in using LLMs and GPT APIs (e.g., Hugging Face, OpenAI) for NLP tasks.
  • Experience building and deploying NLP pipelines with Python in production environments.
  • Strong understanding of natural language processing techniques and model integration.

Preferred Qualifications
  • Familiarity with advanced NLP frameworks like SpaCy or NLTK for preprocessing tasks.
  • Exposure to cloud platforms like AWS or GCP for hosting NLP applications.
  • Knowledge of fine-tuning transformer models for domain-specific NLP use cases.

Compensation & Benefits
  • Competitive salary and comprehensive benefits package (healthcare, PTO, 401k).
  • Opportunities for professional growth and upskilling in AI and cloud technologies.

R2 Technologies Corporation is an equal opportunity employer and values diversity in the workplace.
Skills:
Python, NLP, Natural Language Processing, GPT, LLM, Transformer Models, Hugging Face, OpenAI API

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