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Entry Level Large Language Model Llm Jobs in Massachusetts

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 ...

The chatbot will leverage a company‑owned Large Language Model (LLM) and be capable of autonomously executing a set of predefined tools(e.g., data retrieval, workflows, system actions) to support ...

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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 ...

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 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 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 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 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:

Infographic showing various Entry Level Large Language Model Llm job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Intermediate AI and Decision Engineer with Security Clearance

MITRE Corporation

Bedford, MA • On-site

$121K - $152K/yr

Other

Re-posted 20 days ago


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

163rd of 450 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Our AI-enhanced Discovery and Decisions department has a need for an Artificial Intelligence and Decision Engineer with a passion for artificial intelligence (AI) and expertise in algorithms and decision making. We are specifically looking for talent in machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies. As an Artificial Intelligence and Decision Engineer, you will have opportunities to work on a wide range of problems, working in interdisciplinary teams. Your experience will allow you to: * Apply large language models to sponsors' decision making and problem-solving challenges.
* Design, develop, evaluate, and field AI solutions that inform consequential, mission-critical decisions.
* Identify and lead new R&D opportunities to strengthen the nation's growing artificial intelligence capabilities. Roles & Responsibilities: * Work in cross-functional teams to develop and implement AI-enhanced decision systems, including capabilities that leverage large language model technology.
* Apply modern AI and engineering techniques to develop decision support software prototypes based on analysis of workflow and operational needs.
* Propose and execute novel, cutting-edge research in Al-enhanced decision systems.
* Evaluate Al solutions against sponsor requirements and produce actionable recommendations.
* Lead projects or small teams to solve complex decision problems for our sponsors. Basic Qualifications: * Requires a minimum of 2 years of related experience with a Bachelor's degree in computer science or an engineering discipline related to artificial intelligence; or 1 year plus a Master's degree.
* Hands-on experience with machine learning (including deep learning and reinforcement learning), and one or more of the following technical areas: large language models (LLM), generative and agentic AI, decision science, human machine teaming, cognitive science, AI testing and evaluation, multi-agent systems, knowledge-based reasoning, automated planning, semantics, and ontologies.
* Ability to articulate challenges in high-stakes decision making with AI and identify gaps.
* Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
* Ability to work independently to learn new technologies, techniques, processes, languages, platforms, and systems.
* Ability to function as a member of cross-functional teams.
* Experience with programming languages such as C++ and Python.
* Must be able to obtain and maintain a US DoD Secret government clearance.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. * This position requires a minimum of 3 days a week on-site. Preferred Qualifications: * Demonstrated recent experience with large language models.
* A keen interest in learning about and rapidly responding to new problems across a variety of domains.
* Excellent written and verbal communication skills to articulate challenging technical concepts to both lay and expert audiences.
* Experience with testing and evaluation of AI systems, explainable AI, or strategic AI adoption.
* Hands-on experience with the development and deployment of AI-enhanced decision system prototypes.
* Active DoD Secret clearance. This requisition requires the candidate to have a minimum of the following clearance(s):
None This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret Salary compensation range and midpoint:
$121,600 - $152,000 - $182,400 Annual Work Location Type:
Onsite It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

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Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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