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Entry Level Llm Developer Jobs (NOW HIRING)

Job Summary We are looking for an enthusiastic Entry-Level Web Developer with a solid foundation in ... Experience using LLM's * Build RAG Pipelines and Workflows * Write clean, maintainable, and well ...

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You'll integrate LLM/AI APIs, build agent workflows, and deliver end-to-end solutions on AWS ... Collaborate with senior engineers, ask great questions, and absorb engineering standards and best ...

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... buyer! Entry Level Software Engineer Why we need you We're at a pivotal moment with a roadmap ... Interest in or exposure to AI/LLM technologies * Open source contributions or personal projects ...

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers ... Snowflake, Databricks, LLM, Gen AI, text mining, Tableau, PowerBI, SAS, Tensorflow If you get ...

... buyer! Entry Level Software Engineer Why we need you We're at a pivotal moment with a roadmap ... Interest in or exposure to AI/LLM technologies * Open source contributions or personal projects ...

Generative AI Engineer -- Entry Level We are seeking a Generative AI Engineer to build AI-powered ... Responsibilities Develop GenAI applications and chatbots Work with LLM APIs Implement prompt ...

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Entry Level Llm Developer information

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$32K

$94.1K

$161.5K

How much do entry level llm developer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for entry level llm developer in the United States is $94,149.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,000.00 and $101,500.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Llm Developer vs Entry Level Data Scientist?

AspectEntry Level Llm DeveloperEntry Level Data Scientist
Required CredentialsBachelor's in Computer Science, AI, or related field; familiarity with machine learning and NLPBachelor's in Computer Science, Statistics, or related field; knowledge of programming and data analysis
Work EnvironmentTech companies, AI startups, research labsTech firms, finance, healthcare, research institutions
Employer & Industry UsageDevelops language models, NLP applicationsAnalyzes data, builds predictive models, interprets data trends

Entry Level Llm Developers focus on creating and fine-tuning language models using AI and NLP techniques, often working in tech and research environments. Entry Level Data Scientists analyze data sets to extract insights and build models, working across various industries. While both roles require programming skills and a background in data or AI, their core responsibilities differ: Llm Developers specialize in language models, whereas Data Scientists focus on data analysis and interpretation.

What are entry level LLM developers?

Entry level LLM (Large Language Model) developers are professionals who work with AI models like GPT, typically at the beginning of their careers. They may assist in training, fine-tuning, or integrating large language models into various applications, often under the supervision of more experienced engineers. Their work can involve coding, data preprocessing, prompt engineering, and testing model performance. Entry level LLM developers usually have foundational knowledge in programming (commonly Python), machine learning concepts, and an interest in natural language processing (NLP). Employers often look for candidates with relevant coursework, internships, or personal projects in AI.

What are the key skills and qualifications needed to thrive as an Entry Level LLM Developer, and why are they important?

To thrive as an Entry Level LLM Developer, you need a solid background in computer science, programming (especially Python), and a foundational understanding of machine learning and natural language processing concepts. Familiarity with frameworks such as PyTorch or TensorFlow, experience using libraries like HuggingFace Transformers, and basic proficiency with cloud platforms are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to evolving project needs. These skills and qualities ensure you can effectively contribute to LLM projects, deliver reliable code, and stay current in a fast-paced AI field.

What are typical projects and daily tasks for an Entry Level LLM Developer?

As an Entry Level LLM Developer, you can expect to work on tasks such as fine-tuning language models, building data pipelines, and supporting senior engineers with model deployment and testing. Your daily responsibilities may include cleaning and preparing datasets, writing Python scripts, conducting model evaluations, and documenting your work. You'll often collaborate closely with data scientists, machine learning engineers, and product teams to ensure your models align with business goals. This role is a great opportunity to build foundational skills in natural language processing while gaining exposure to real-world applications of large language models.
More about Entry Level Llm Developer jobs
What cities are hiring for Entry Level Llm Developer jobs? Cities with the most Entry Level Llm Developer job openings:
What are the most commonly searched types of Llm Developer jobs? The most popular types of Llm Developer jobs are:
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What job categories do people searching Entry Level Llm Developer jobs look for? The top searched job categories for Entry Level Llm Developer jobs are:
Infographic showing various Entry Level Llm Developer job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 5% Full Time, 89% Part Time, 2% Temporary, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $94,149 per year, or $45.3 per hour.
Agentic AI Engineer for Aerospace (Entry Level)

Agentic AI Engineer for Aerospace (Entry Level)

United Airlines

Bellevue, WA • On-site

$43K - $105K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 333 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

Job Title: Agentic AI Engineer for Aerospace (Entry Level)
Job Location: Bellevue, WA (Hybrid)

About the job you're considering
The Agentic AI Engineer role focuses on designing and delivering intelligent, AI driven engineering solutions for Automotive and Aerospace customers. This position blends MBSE, CAD/PLM (3DEXPERIENCE, CATIA, No Magic) expertise with LLM based agent development to enable design automation, knowledge extraction, digital thread integration, and decision support. The role requires strong mechanical engineering fundamentals and hands on experience building scalable, enterprise grade GenAI solutions.

Your Role

  • Design and develop LLM based intelligent agents using Python and modern agent frameworks.
  • Build AI driven solutions for engineering use cases such as knowledge extraction, design automation, and model transformation.
  • Develop and integrate MBSE workflows using No Magic / Cameo Systems Modeler and SysML.
  • Basic knowledge on  CATIA V5/V6 and 3DEXPERIENCE automation solutions using EKL, CAA, Python, and macros.
  • Integrate CAD, MBSE, and PLM systems to enable digital thread and digital engineering workflows.
  • Develop Retrieval Augmented Generation (RAG) pipelines for engineering knowledge systems.
  • Design APIs and orchestrate workflows for engineering copilots and assistants.
  • Collaborate with cross functional teams to architect scalable, enterprise grade engineering solutions.
  • Develop POCs, technical documentation, and solution architectures for customer engagements.
  • Support cloud based deployment of AI solutions, primarily on Azure environments.

Your Skills and Experience

  • Bachelor's degree in Mechanical Engineering, Systems Engineering, Computer Science, or related discipline.
  • Strong mechanical engineering fundamentals with system level understanding.
  • Basic  experience with 3DEXPERIENCE platform (ENOVIA, DELMIA, CATIA Engineering & Systems apps).
  • Basic  experience with CATIA V5/V6 expertise in part design, assembly, drafting, DMU, and kinematics.
  • SysML modeling using No Magic / Cameo Systems Modeler.
  • Experience with MagicGrid framework, model validation, traceability, and architecture development.
  • Knowledge of BOM, EBOM, MBOM, and lifecycle management.
  • AI & Software Development
  • Python (advanced) for AI agent and automation development.
  • Experience with LLM agent frameworks (LangChain, LlamaIndex, AutoGen, or similar).
  • Development of RAG pipelines and domain specific engineering copilots.
  • REST API development and workflow orchestration.
  • Exposure to Azure/OpenAI services and LLM deployment or fine tuning.
  • Familiarity with Git, CI/CD pipelines, Docker, and DevOps basics.
  • Strong analytical thinking and problem-solving abilities
  • Excellent written and verbal communication skills
  • Ability to work effectively in cross-functional teams
  • Self-motivated with a growth mindset and eagerness to learn
  • Adaptability to rapidly evolving technologies and requirements
  • Attention to detail and commitment to delivering high-quality work
  • Interpersonal skills and teamwork orientation
  • Proactive approach to tasks and challenges
  • Customer Service Orientation

The base compensation range for this role in the posted location is: $43,984 - $105,600/Year

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

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Benefits

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Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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