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Entry Level Natural Language Processing Engineer Jobs

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Full-time Agent Engineer About Us We're at the forefront of developing cutting-edge AI-powered ... Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy)

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... to natural language processing. Experience with using modern frameworks such as Tensorflow.

Gen AI Developer

Seattle, WA · On-site

$57.25 - $78.75/hr

... natural language processing • Proficiency in RAG (Retrieval-Augmented Generation) techniques • Strong understanding of natural language processing (NLP) • Experience with data preprocessing and ...

Post Doc Associate

Gainesville, FL · On-site

$61K - $65K/yr

Work in an interdisciplinary team of informaticists, programmers, information quality experts ... Experiences in natural language processing, large language models, machine learning (deep learning ...

Robotics & AI Research Engineer Description Auzmor is redefining workforce training by seamlessly ... Conduct cutting-edge research in computer vision, neural policies, or natural language processing ...

... Systems Engineer - Capped at $320 Process Engineer - Capped at $320 Renewable Energy Engineer ... Interest in AI, machine learning, or natural language processing * Ability to work independently ...

... using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib ... Experience with ElasticSearch, information/document retrieval, natural language processing is a ...

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Entry Level Natural Language Processing Engineer information

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$30K

$69.4K

$118K

How much do entry level natural language processing engineer jobs pay per year?

As of Jul 15, 2026, the average yearly pay for entry level natural language processing engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Natural Language Processing Engineer jobs? The most popular types of Natural Language Processing Engineer jobs are:

Software Engineer (Language Modeling), BS+12 yrs

LinkLLC

Columbia, MD • On-site

Full-time

Posted 28 days ago


Job description

Job Summary:
LinkLLC is seeking a highly skilled and motivated Sr. LLM Engineer to join their AI/ML team. The role involves designing, developing, and maintaining infrastructure for training and optimizing Large Language Models, as well as collaborating with cross-functional teams to deliver impactful language solutions.
Responsibilities:
• Design, develop, and maintain the infrastructure for training, hosting, and serving LLM instances.
• Optimize model training pipelines to achieve high performance and resource efficiency.
• Implement and integrate state-of-the-art LLM architectures and techniques.
• Collaborate with cross-functional teams to understand business requirements and deliver impactful language solutions.
• Monitor and analyze model performance metrics, identifying areas for improvement and implementing optimizations.
• Develop and maintain documentation, best practices, and coding standards for LLM development and deployment.
• Stay up-to-date with the latest advancements in LLM research and industry trends, and incorporate them into our projects.
• Mentor and guide junior engineers, fostering a culture of continuous learning and knowledge sharing.
Qualifications:
Required:
• 12+ years of experience in software engineering, with a focus on machine learning or natural language processing.
• Degree in Computer Science, Artificial Intelligence, or a related field.
• Strong expertise in deep learning frameworks such as TensorFlow, PyTorch, or MXNet.
• Proficiency in programming languages such as Python, C++, or Java.
• Solid understanding of LLM architectures, training techniques, and evaluation methodologies.
• Familiarity with cloud platforms (e.g., AWS, GCP) and their machine learning services.
• Knowledge of software engineering best practices, including version control, testing, and continuous integration/deployment.
• Excellent problem-solving and debugging skills.
• Strong communication and collaboration abilities to work effectively with cross-functional teams.
Preferred:
• Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, or a related field.
• Proven track record of implementing and deploying large-scale LLM systems in production environments.
• Experience with distributed computing frameworks like Apache Spark or Hadoop.
• Experience with natural language understanding, generation, and dialogue systems.
• Familiarity with techniques such as transfer learning, few-shot learning, and reinforcement learning.
• Contributions to open-source projects or research publications in the field of LLMs.
• Experience with serving models using APIs and building scalable inference pipelines.
• Knowledge of DevOps practices and tools like Docker, Kubernetes, and Jenkins.
Company:
We engineer lasting solutions in partnership with our clients, to protect our nation's security information/systems and infrastructure and to defend our country and interests. Founded in , the company is headquartered in Annapolis Junction , Maryland, US, , with a team of 11-50 employees. The company is currently Early Stage.