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Nlp Llm Jobs (NOW HIRING)

Inficare Technologies

Sr. GenAI Engineer

Jersey City, NJ · On-site

$108K - $149K/yr

Strong knowledge of NLP, LLM app development, and Agentic Design * Experience developing multi-modal RAG systems for enterprise solutions * Proficiency in Python, R, or Java * Experience with ...

Medpace, Inc.

AI Scientist

Cincinnati, OH

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

Augment

Principal Scientist, Data

Houston, TX · On-site

$80 - $83/hr

NLP & Agent-Based AI Applications * Build LLM-powered solutions using prompt engineering, fine-tuning, inference optimization, and agent-based architectures. Business Decision Support * Convert ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and ...

Marencor

ML Engineer

Charlotte, NC · On-site

TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI) * Design and conduct experiments to test hypotheses and validate model assumptions * Analyze experimental results and provide recommendations for ...

Medpace, Inc.

AI Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Research, develop, and implement AI tools such as NLP, LLM, and IA; * Collect, preprocess, and curate large datasets required for training generative models; * Experiment with different machine ...

Staffingine LLC

CTI

Dallas, TX · On-site

Use NLP/LLM models to extract and validate indicators, entities, and TTPs from raw reports; auto-tag with ATT&CK techniques to accelerate detection writing and threat hunting. * Orchestrate ...

Medpace, Inc.

AI Scientist

Cincinnati, OH · On-site

Lead the identification and development of AI tools such as NLP, LLM, and IA; * Design, develop, and implement artificial intelligence (AI) models and algorithms for various applications; * Work on a ...

Compunnel

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Key Responsibilities: • Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products. • Develop and optimize NLP, LLM, and Retrieval-Augmented ...

UL Research Institutes

AI Research Engineer - NLP

$98K - $135K/yr

Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs assessments - expanding digital safety best practices. Applies technical, diagnostic, and ...

Sourceability

Principal NLP Scientist

Austin, TX · On-site

The focus is to take modern NLP and LLM technologies and make them reliable, measurable, maintainable, and useful inside real production workflows. Assigned Product Group * Product Group | NLP / AI ...

Black Ore

Applied AI Leader

Manhattan, NY · On-site

Design and implement NLP/LLM systems for extraction, summarization, classification, and NER * Fine‑tune, distill, and optimize LLMs for tax-domain tasks. * Build evaluation frameworks, datasets ...

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Nlp Llm information

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$171K

How much do nlp llm jobs pay per year?

As of Sep 11, 2026, the average yearly pay for nlp llm in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is an NLP LLM?

NLP LLMs refer to Natural Language Processing (NLP) Large Language Models. These are advanced artificial intelligence systems designed to understand, generate, and interact using human language. NLP LLMs, such as GPT-4 or BERT, are trained on massive datasets and can perform tasks like translation, summarization, question answering, and text generation. They are commonly used in chatbots, virtual assistants, search engines, and many other applications that require comprehension and generation of natural language. Their capabilities are continually evolving as the technology advances.

What are the key skills and qualifications needed to thrive as an NLP LLM engineer?

To thrive as an NLP LLM Engineer, you need a strong background in machine learning, deep learning, natural language processing, and programming (often Python), typically supported by a degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, Hugging Face Transformers, and cloud platforms, as well as experience with large-scale data processing, are essential technical qualifications. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate and innovate in multidisciplinary teams. These competencies are crucial for developing, optimizing, and deploying advanced language models that drive real-world AI applications.

What are common challenges faced when working with NLP large language models in a production environment?

When working with NLP LLMs in a production setting, professionals often encounter challenges related to model scalability, latency, and ensuring data privacy. Handling large volumes of data efficiently and optimizing inference speed without compromising accuracy are key concerns. Additionally, integrating LLMs with existing systems and maintaining model performance as new data or requirements emerge can require ongoing collaboration with engineering and data teams. Staying updated with the latest advancements and best practices is also important for continuous improvement and security.

What is the difference between Nlp Llm vs Data Scientist?

AspectNlp LlmData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of NLP and ML frameworksDegree in Statistics, Computer Science, or related fields; strong programming skills
Work EnvironmentResearch labs, AI companies, tech firms focusing on NLP applicationsBusiness analytics, research, and development teams across various industries
Industry UsagePrimarily in AI, NLP, and machine learning sectorsAcross finance, healthcare, marketing, and tech industries

While Nlp Llm specialists focus on developing and fine-tuning large language models for natural language processing tasks, Data Scientists analyze data to extract insights and build predictive models. Both roles require strong programming skills and a background in data or AI, but Nlp Llm roles are more specialized in NLP and language models, whereas Data Scientists have a broader focus on data analysis and interpretation across industries.

What other helpful pages are available for Nlp Llm?

Other pages related to Nlp Llm:

Infographic showing various Nlp Llm job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 95% Full Time, 1% Part Time, and 3% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.

Sr. GenAI Engineer

Jersey City, NJ • On-site

Inficare Technologies
Recruiting and Staffing Services • 51 - 200 employees
Learn more about Inficare Technologiesexternal

$108K - $149K/yr

Contractor

Re-posted 13 days ago

Job description

Job Title: Sr. GenAI Engineer
Location: Jersey City, NJ (5 Days Onsite)
Job Type: 12+ Month Contract
Experience: 15+ years
Job Overview
Our client is seeking a highly skilled Senior GenAI Engineer with a strong focus on Generative AI and Agentic development. The ideal candidate will design, develop, and implement Gen AI applications and algorithms that enhance enterprise AI capabilities, while serving as a hands-on engineering leader across multiple workstreams.
Key Responsibilities
  • Design and develop scalable Gen AI and LLM/GenAI systems for complex business problems
  • Build, deploy, and operate production-grade ML and Generative AI services end-to-end
  • Build and institutionalize MLOps capabilities, including automated pipelines, monitoring, and model lifecycle management
  • Implement multi-modal RAG systems and Agentic AI architectures for enterprise solutions
  • Fine-tune and evaluate generative models (e.g., GPT-4.1) for NLP use cases, including summarization and text generation
  • Implement real-time model performance monitoring and optimization
  • Mentor and uplift junior engineers through design reviews, code reviews, and coaching
  • Communicate AI/ML capabilities and results to both technical and non-technical stakeholders
Required Skills
  • Strong knowledge of NLP, LLM app development, and Agentic Design
  • Experience developing multi-modal RAG systems for enterprise solutions
  • Proficiency in Python, R, or Java
  • Experience with TensorFlow, PyTorch, Scikit-learn, and OpenAI API
  • Cloud platforms: AWS, Azure, Google Cloud Platform, Snowflake, or Databricks
  • Containerization: Docker, Kubernetes; microservices architecture
  • Understanding of statistics, deep learning, GANs, VAEs, classification, regression, time series, reinforcement learning
  • Ability to design Agentic AI architecture, including context engineering and RAG
Preferred Skills
  • Expertise in RAG pipeline design and implementation.
  • Hands-on knowledge of Chain-of-Thought, Tree-of-Thoughts, Graph-of-Thoughts prompting strategies.
  • Familiarity with the financial services industry.
  • DevOps practices and Agile methodologies.

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