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Entry Level Llm Engineer Jobs (NOW HIRING)

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Entry Level Llm Engineer information

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$40.5K

$86.4K

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

As of Jul 10, 2026, the average yearly pay for entry level llm engineer in the United States is $86,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $103,500.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level LLM Engineer, you need a solid background in computer science, programming (especially Python), and basic machine learning concepts, often supported by a relevant degree. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), experience with LLM APIs (such as OpenAI or Hugging Face), and understanding version control systems (like Git) are typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate and adapt in dynamic teams. These competencies are crucial for building, fine-tuning, and deploying large language models that meet project goals and industry standards.

What is an Entry Level LLM Engineer?

An Entry Level LLM (Large Language Model) Engineer is a professional who works on developing, fine-tuning, and deploying AI models that process and generate human language, such as GPT or similar neural network-based systems. They typically work with machine learning frameworks, data preprocessing, and model evaluation under the guidance of more experienced engineers. Entry level LLM Engineers are often responsible for implementing basic model architectures, running experiments, and analyzing model performance. They usually have a background in computer science, machine learning, or related fields, and are familiar with programming languages like Python.

What are some common challenges faced by Entry Level LLM Engineers when working on real-world language model applications?

Entry Level LLM Engineers often encounter challenges such as adapting large language models to specific business requirements, managing computational resources efficiently, and debugging complex model outputs. Collaborating with data scientists and software engineers is key, as projects typically require integrating models into broader systems. Additionally, staying updated with rapid advancements in the field and learning to work with large datasets are ongoing aspects of the role. Supportive team structures and mentorship can help new engineers overcome these hurdles and accelerate their growth.
More about Entry Level Llm Engineer jobs
What cities are hiring for Entry Level Llm Engineer jobs? Cities with the most Entry Level Llm Engineer job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Entry Level Llm Engineer jobs? States with the most job openings for Entry Level Llm Engineer jobs include:
Cloud Engineer I (QA Automation focus)

Cloud Engineer I (QA Automation focus)

Hewlett Packard Enterprise

Roseville, CA • Hybrid

Full-time

Re-posted 20 days ago


Hewlett Packard Enterprise rating

8.3

Company rating: 8.3 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

31st of 141 rated electronics manufacturers


Job description

Cloud Engineer I (QA Automation focus)This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office.

Who We Are:

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world.Our culture thrives onfinding new and better ways to accelerate what's next.We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs.We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you.Open up opportunities with HPE.

Job Description:

Job Description - Cloud Developer I (QA Automation Focus)

Must Be US Citizen or Green Card Holder

The Cloud Developer I contributes to the development, testing, and automation of cloud-based applications and networking solutions. This role focuses on building scalable automation frameworks, validating product features, and supporting the delivery of high-quality software for mission-critical systems. Works closely with cross-functional teams to design, test, and release features across cloud environments, ensuring the reliability and performance of networking products.

Entry-level to early career professional applying foundational technical knowledge. Works under guidance while contributing to team objectives across development and QA initiatives.

Responsibilities

  • Develop and execute automated test cases for cloud and networking applications
  • Build automation scripts using Python and testing frameworks (e.g., Playwright, Selenium)
  • Validate product features for networking systems (switches, routers, access points)
  • Participate in Agile/Scrum teams supporting feature development and release cycles
  • Collaborate with developers to troubleshoot, debug, and resolve issues
  • Contribute to CI/CD workflows and test automation pipelines
  • Support continuous improvement of testing frameworks and processes

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field
  • 0-4 years of experience in software development, QA, or automation
  • Strong programming skills in Python
  • Hands-on experience with automation and testing tools (Playwright, Selenium preferred)
  • Basic understanding of networking concepts (routers, switches, access points)
  • Understanding of software development lifecycle and CI/CD practices

Preferred Qualifications

  • Exposure to cloud technologies and distributed systems
  • Experience with AI/GenAI tools (e.g., GitHub Copilot, ChatGPT, Claude)
  • Familiarity with RAG, LangChain, or LLM-based workflows
  • Interest or experience in building automation agents or workflow orchestration systems
  • Strong analytical, problem-solving and debugging skills

Additional Requirements

  • Willingness to relocate to Roseville, CA
  • Ability to work hybrid (2 days per week onsite)
  • Strong communication and teamwork skills

What We Can Offer You:

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Let's Stay Connected:

Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.

#unitedstates#networking

Job:

Engineering

Job Level:

TCP_01"The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
- United States of America: Annual Salary USD 92,700 - 187,800 in California
The listed salary range reflects base salary. Variable incentives may also be offered."

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

Recruitment Fraud Alert

We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.

All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual's own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.


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