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Nlp Llm Engineer Jobs (NOW HIRING)

Senior Machine Learning Engineer

Raleigh, NC · On-site

$101K - $139K/yr

Job Summary: We are seeking a Senior Machine Learning Engineer to help lead the design and ... optimize NLP, LLM, and Retrieval-Augmented Generation (RAG) applications for production ...

ML Engineer Location : Charlotte Contract : 12 months JD: * Advanced degree (Master's or Ph.D.) in ... TensorFlow, PyTorch, scikit-learn, NLP, LLM, GenAI) * Design and conduct experiments to test ...

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 ... Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g ...

Conducts literature and open-source reviews in NLP or LLM Designs, plans, and creates NLP or LLMs ... Engages software engineering teams who build tools to help DSRI researchers scale their assessments ...

Sr Data Scientist GenAI

Dallas, TX · On-site +1

$150K - $210K/yr

... NLP / LLM models; experience with fine-tuning, prompt engineering. - Solid experience with information retrieval / search: keyword + semantic search, embeddings, vector databases. - Experience ...

Codes or trains text analytics needed to run NLP or LLM assessments. Prepares ... Engages software engineering teams who build tools to help DSRI researchers scale their assessments ...

NY · On-site

$94K - $124K/yr

In‑depth knowledge of RAG, prompt engineering, fine‑tuning and adapters (LoRA, PEFT), training and evaluating language models (NLP, LLM, multimodal), agent orchestration, and AI workflows

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and ...

AI Engineer

Cincinnati, OH · On-site

$109K - $132K/yr

We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and ...

Senior AI Engineer

$107K - $146K/yr

About the Position As a Senior AI Engineer, you'll spearhead the development of LLM-powered ... LLM-driven solutions to tackle intricate NLP tasks. Implement and refine a robust, scalable ...

Showing results 41-60

Nlp Llm Engineer information

See salary details

$36.5K

$107.3K

$137.5K

How much do nlp llm engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for nlp llm engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an NLP LLM engineer?

NLP LLM Engineers are specialized professionals who design, develop, and optimize natural language processing (NLP) systems, often using large language models (LLMs) like GPT, BERT, or similar architectures. They work on building AI applications that understand and generate human language, such as chatbots, language translators, or text summarizers. Their work typically involves fine-tuning pre-trained models, handling large datasets, and ensuring the models are efficient and accurate for specific tasks. These engineers need strong backgrounds in machine learning, programming, and linguistics to solve complex language problems. The role is in high demand due to the rapid growth of AI-powered language technologies.

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 computer science, machine learning, and natural language processing, often supported by a relevant degree and experience with language models. Proficiency with programming languages like Python, deep learning frameworks such as PyTorch or TensorFlow, and familiarity with libraries like Hugging Face Transformers is typically required. Strong problem-solving abilities, clear communication, and a collaborative mindset help distinguish top performers in this field. These skills and qualities are crucial for developing, fine-tuning, and deploying advanced language models that drive innovative AI applications.

What are some common challenges faced by NLP LLM engineers when deploying large language models in production environments?

NLP LLM Engineers often encounter challenges related to optimizing large language models for efficiency and scalability in production. These can include managing high computational costs, ensuring low-latency responses, and addressing data privacy concerns. Engineers must also collaborate closely with DevOps and data engineering teams to monitor performance, handle model updates, and ensure robust API integration. Staying current with rapid advancements in NLP research and adapting models to evolving business requirements are also key aspects of the role.

What cities are hiring for Nlp Llm Engineer jobs?

Cities with the most Nlp Llm Engineer job openings:

What states have the most Nlp Llm Engineer jobs?

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Infographic showing various Nlp Llm Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 92% Full Time, 3% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.

Information Technology_USA - USA_Engineer

Jacksonville, FL • On-site

Real Soft, Inc.
IT Services • 501 - 1,000 employees

Contractor

Re-posted 9 days ago


Job description

Targeted - hr
REQUIREMENT_CITY - Malvern, PA
Role Name - AI Agent Engineer-Security Operations (SOC Automation)
ROLE_DESCRIPTION -
Hands-on experience building AI agents using LLMs/ML for security use cases (alert triage, incident summarization, threat hunting).
Strong integration experience with SOC tools-SIEM/SOAR (Elastic, Tines), EDR, and Threat Intelligence platforms.
Design of autonomous decision logic & playbooks enabling adaptive, AI-driven SOC responses.
Applied NLP/LLM expertise for processing logs, alerts, and threat intel into contextual insights.
Proven Python-based engineering skills with API-driven, event-based architectures.
Experience with agent frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel).
Exposure to vector databases & knowledge graphs for contextual correlation.
Familiarity with MITRE ATT&CK-aligned detections and response workflows.
Experience implementing human-in-the-loop controls for AI-driven SOC actions.
Knowledge of security telemetry at scale (logs, network, endpoint, cloud).
Skills: Digital : Python~Cyber Security~AI Agents~Symantec Endpoint Protection and EDR
Experience Required: 8-10, Project Code :