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Entry Level Large Language Model Llm Jobs in Massachusetts

Manulife

Senior Machine Learning Engineer

Boston, MA · Hybrid

$107K - $199K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Conduct research and implement AI agents using large language models (LLMs); * Deploy LLM agents to automate various business processes including document processing, information retrieval, fraud ...

Nastech Global

GCP Gen AI Architect

Boston, MA · On-site

Architect GEN AI solutions using GCP (GEN AI LLM, Big Query, Vertex AI and related services. Fine-tune pretrained large language models (LLMs) and other generative models tailored to specific domain ...

Capital One

Applied Researcher I

Cambridge, MA · On-site

LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of ...

Capital One

Applied Researcher I

Cambridge, MA · On-site

LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of ...

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Entry Level Large Language Model Llm information

What is an entry level large language model LLM?

An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.

What are the key skills and qualifications needed to thrive as an entry level large language model LLM engineer?

To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.

What types of projects do entry level large language model LLM engineers typically contribute to?

Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.

What is the difference between Entry Level Large Language Model Llm vs Data Analyst?

AspectEntry Level Large Language Model LlmData Analyst
Required CredentialsBasic understanding of NLP, programming skills (Python), coursework or certifications in AI/MLBachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools
Work EnvironmentResearch labs, AI companies, tech startups; focus on model development and trainingBusiness environments, consulting firms, finance, healthcare; focus on data interpretation and reporting
Industry UsageAI development, NLP applications, machine learning researchBusiness intelligence, market analysis, operational insights

Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Large Language Model Llm jobs in Massachusetts? The most popular types of Large Language Model Llm jobs in Massachusetts are:
What are popular job titles related to Entry Level Large Language Model Llm jobs in Massachusetts? For Entry Level Large Language Model Llm jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Entry Level Large Language Model Llm jobs in Massachusetts look for? The top searched job categories for Entry Level Large Language Model Llm jobs in Massachusetts are:
What cities in Massachusetts are hiring for Entry Level Large Language Model Llm jobs? Cities in Massachusetts with the most Entry Level Large Language Model Llm job openings:
Entry Level Large Language Model Llm jobs near you
Infographic showing various Entry Level Large Language Model Llm job openings in Massachusetts as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, and 7% Contract. Highlights an 86% In-person, and 14% Remote job distribution.

Senior Machine Learning Engineer

Manulife and John Hancock

Boston, MA • On-site

$107K - $199K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Employer: John Hancock Life Insurance Company (USA)
Job Site: 200 Berkeley Street, Boston, MA 02116
Job Title: Senior Machine Learning Engineer
Job Duties:
Design and implement image processing solutions to enhance operational workflows and fraud detection. Duties include:
  • Design, develop, and maintain AI solutions for backend applications related to document analytics;
  • Conduct research and implement AI agents using large language models (LLMs);
  • Deploy LLM agents to automate various business processes including document processing, information retrieval, fraud analytics, and other operational tasks;
  • Mentor Data Scientists and Junior Engineers in best practices for programming, Machine Learning Operations (MLOps), and Large Language Model Operations (LLMOps); and in use of various big data processing tools, machine learning frameworks, and cloud computing concepts;
  • Research Computer Vision (CV) and Natural Language Processing (NLP) algorithms to address technical challenges in document analytics field;
  • Conduct research and development of image processing algorithms for intelligent document processing;
  • Design, develop, and maintain data pipelines to enable data analytics workflows;
  • Design, develop, and maintain highly scalable SQL queries and cloud deployments of automated reporting pipelines using big data technologies;
  • Write and maintain code repositories for AI solutions using the Python;
  • Deploy AI solutions on cloud platforms;
  • Identify new opportunities to apply NLP, CV, LLMs, and other AI techniques to optimize business processes;
  • Conduct data science and machine learning experiments to discover data-driven solutions.

Work Arrangement Requirement Hybrid from Boston Office (3 days from office, 2 days from home)
Minimum Requirements:
Master's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 2 years of machine learning engineering, computer vision engineering, or perception engineering experience. Employer will also accept Bachelor's degree or foreign equivalent in Computer Engineering, Computer Science, Electronic Engineering or closely related field and 5 years of machine learning engineering, computer vision engineering, or perception engineering experience.
Experience must include the following, which may be gained concurrently:
  • 2 years of experience with programming languages including Python and C++.
  • 2 years of experience developing and deploying AI solutions including computer vision, natural language processing, and Large Language Model (LLM) based applications.
  • 2 years of experience using high-performance and real-time computer vision and image processing algorithms.
  • 2 years of experience building and deploying back-end AI applications within cloud infrastructure environments.
  • 2 years of experience using Agile methodology.
  • 2 years of experience conducting algorithm research and development including Computer Vision, Optical Character Recognition, and Natural Language Processing.
  • 2 years of experience with SQL including building queries and coding for comprehensive data needs.
  • 1 year of experience using cloud data practices.

The role being advertised is an existing vacancy.
About Manulife and John Hancock
Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.
Manulife is an Equal Opportunity Employer
At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.
It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.
Referenced Salary Location
Boston, Massachusetts
Working Arrangement
Hybrid
Salary range is expected to be between
$107,450.00 USD - $199,550.00 USD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.
Manulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.
Know Your Rights I Family & Medical Leave I Employee Polygraph Protection I Right to Work I E-Verify
Company: John Hancock Life Insurance Company (U.S.A.)

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