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Nlp Developer Jobs (NOW HIRING)

Roberts Recruiting

Senior NLP Engineer

Boston, MA · On-site

$113K - $156K/yr

Senior Natural Language Processing (NLP) Engineer Would you like to contribute creatively to a large, meaningful mission? We are in the processing of transforming healthcare. In particular, we are ...

Avoma Inc

ML Engineer - NLP

Palo Alto, CA

$120K - $140K/yr

Deep Learning / NLP Engineer Join Avoma and work on some of the most challenging NLP problems in our mission to make every meeting more productive. Our intelligent meeting assistant helps ...

Point72

NLP Engineer

New York, NY · On-site

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

Point72

NLP Engineer

New York, NY

We are seeking an NLP engineer to join a quant research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, etc. We ...

Point72

NLP / AI Engineer

New York, NY

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

Point72

NLP Engineer

New York, NY · On-site

DESCRIPTION We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the ...

Point72

NLP Engineer

New York, NY

DESCRIPTION We are looking for a motivated and skilled NLP Engineer with experience in deep learning frameworks. This position is ideal for candidates who are eager to grow their skills in the ...

Point72

NLP / AI Engineer

New York, NY · On-site

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

Point72

NLP / AI Engineer

Manhattan, NY

We are seeking a NLP engineer for a NLP research team within Point72. The ideal candidate has a track record of developing modern NLP solutions, including the use of LLMs, agents, RAG, open-source ...

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How much do nlp developer jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for nlp developer in the United States is $52.84, according to ZipRecruiter salary data. Most workers in this role earn between $40.38 and $64.66 per hour, depending on experience, location, and employer.

Which 3 jobs will survive AI?

NLP developers are likely to continue playing a vital role as AI advances, focusing on designing and improving language models. Jobs that require complex problem-solving, creativity, and emotional intelligence—such as data scientists, AI ethicists, and software engineers—are also expected to persist. These roles involve skills that are difficult for AI to fully replicate, ensuring ongoing demand.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior AI researchers or executive positions like AI directors or chief AI officers, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms.

What does an NLP Developer do?

An NLP (Natural Language Processing) Developer is a software engineer who designs, builds, and implements applications that allow computers to understand, interpret, and generate human language. They work with large datasets of text or speech, utilizing machine learning, linguistics, and artificial intelligence techniques to create tools such as chatbots, language translators, sentiment analysis systems, and more. NLP Developers often collaborate with data scientists, linguists, and software engineers to improve language models and ensure accurate, efficient processing of natural language data.

Is NLP in high demand?

NLP (Natural Language Processing) is a rapidly growing field within artificial intelligence, with increasing demand for NLP developers across industries such as tech, healthcare, and finance. Skills in machine learning, deep learning, and tools like Python and TensorFlow enhance job prospects, which are expected to remain strong as businesses seek to automate and analyze language data.

What are some common challenges faced by NLP Developers when working with real-world text data?

NLP Developers often encounter challenges such as handling noisy and unstructured data, dealing with ambiguity in human language, and ensuring models generalize well across different domains. Text data from users can contain slang, spelling errors, and mixed languages, requiring careful preprocessing and robust model design. Additionally, NLP Developers must stay updated with evolving language patterns and ensure their solutions are scalable and efficient in production environments.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and working at large tech companies or startups. Compensation often includes base salary, bonuses, and stock options, with roles requiring strong technical expertise and leadership abilities.

What are the key skills and qualifications needed to thrive as an NLP Developer, and why are they important?

To thrive as an NLP Developer, you need a strong background in computer science, linguistics, and machine learning, often supported by a relevant degree or equivalent experience. Familiarity with programming languages like Python, NLP libraries (such as NLTK, spaCy, or Transformers), and frameworks like TensorFlow or PyTorch is essential. Strong analytical thinking, problem-solving abilities, and effective communication skills help you design, implement, and explain complex language models. These skills are crucial for developing accurate, scalable NLP solutions that address real-world language challenges.
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Nlp Developer jobs near you
Infographic showing various Nlp Developer job openings in the United States as of June 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $109,905 per year, or $52.8 per hour.

GenAI / NLP Developer

Prophecy Technologies

Woonsocket, RI • On-site

Full-time

Posted 20 days ago

Job description

Job Summary
We are seeking an experienced GenAI / NLP Developer with strong Python and deep learning expertise to design, develop, and deploy Large Language Model (LLM)-based solutions. The role focuses on Generative AI, NLP applications, vector databases, and modern AI frameworks, with exposure to cloud platforms and agentic architectures.
Key Responsibilities
  • Develop, fine-tune, and deploy LLM-based applications using Python.
  • Implement Generative AI solutions using prompt engineering techniques and vector databases.
  • Build, train, and optimize NLP models including text classification, sentiment analysis, and summarization.
  • Utilize frameworks such as LangChain or similar tools for LLM orchestration.
  • Support rapid application development using Streamlit, FastAPI, or Flask.
  • Collaborate with cross-functional teams in an Agile development environment.

Required Skills & Experience
  • 6+ years of overall experience in software development, data analytics, or data science.
  • 2+ years of hands-on experience with deep learning, NLP, and GenAI technologies.
  • Strong proficiency in Python programming.
  • Experience with deep learning frameworks such as TensorFlow and PyTorch.
  • Hands-on experience with Hugging Face Transformers.
  • Practical experience with vector databases and prompt engineering.
  • Solid understanding of Large Language Models (LLMs) and real-world AI applications.
  • Experience deploying AI/ML solutions on Azure or GCP (preferred).
  • Knowledge of agentic or multi-agent architectures (e.g., AutoGen) is a plus.
  • Healthcare domain knowledge is a plus.

Competencies
  • Strong problem-solving and analytical skills
  • Ability to work independently and in collaborative Agile teams
  • Excellent communication and documentation skills
  • Innovative mindset with focus on practical AI solutions

Preferred Skills
  • Experience with AI & GenAI solutions for Business Process Services (BPS)
  • Exposure to cloud-native AI deployments
  • Familiarity with rapid prototyping and proof-of-concept development

Apply