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Entry Level Llm Engineer Jobs (NOW HIRING)

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and ... Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through ...

Targeted Victory is looking for an entry-level engineer to join our AI Development team to help us ... Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD ...

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD ...

Overview Targeted Victory is looking for an entry-level engineer to join our AI Development team to ... Familiarity with Snowflake, Databricks, LLM-based app development, RAG, multi-model routing, CI/CD ...

Support interns and entry-level engineers as you grow. Who You Are * An early-career software ... Built LLM-powered applications (prompting, retrieval/RAG, evaluations, agents, MCP). * Familiarity ...

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Entry Level Llm Engineer information

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$40.5K

$86.4K

$142.5K

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:
Applied AI Engineer (EDA), Platform Architecture

Applied AI Engineer (EDA), Platform Architecture

Apple

Austin, TX

$129K - $225K/yr

Full-time

Medical, Dental, Retirement

Re-posted yesterday


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Apple’s Platform Architecture group develops the next generation of Apple hardware, and the tools to make it possible. Our team builds high-performance verification systems that accelerate the development of Apple silicon. We aim to push the boundaries of pre-silicon validation with simulation solutions that apply and extend principles from hardware emulation.
We are seeking an engineer to develop and deploy agentic AI workflows that automate and optimize pre-silicon validation processes. In this role, you will bridge the gap between applied artificial intelligence and Electronic Design Automation (EDA), building autonomous agents that triage errors, tune simulation parameters, and drastically reduce maintenance burdens for silicon verification teams.
Description
In this role, you will focus on AI based automations, infrastructure development, and continuous experimentation at the intersection of hardware design and verification.","responsibilities":"Design and deploy autonomous AI agents to review design changes, resolve conflicts, and triage elaboration and simulation errors.
Develop AI-driven workflows to flag simulation performance and design concerns, automatically tune design parameters, and explore optimization candidates autonomously.
Apply internal and external EDA tools (e.g., Logic Equivalence Checking, wave dumps, design libraries) to automatically diagnose issues and explore design alternatives.
Build and maintain AI harnesses, scripts, and infrastructure to support continuous research and experimentation.
Conduct data-driven experimentation to optimize prompts and harnesses; measure and improve token efficiency, task completion, and hallucination rates.
Track and evaluate emerging machine learning and Large Language Model (LLM) use cases in the broader industry for application in silicon design workflows.
Occasionally travel (approximately once a year) to collaborate with development groups in the US.
Preferred Qualifications
Master’s in Computer Science, Electrical Engineering, or a related AI/Hardware field.
Hands-on experience with Design Verification tasks requiring application of EDA tools, including Logic Equivalence Checking (LEC), linting / static analysis tools, waveform debugging, and simulation / emulation flows.
Familiarity with Verilog, SystemVerilog, or architecting HDL testbenches for functional verification.
Experience developing software tools for co-simulating designs across multiple high-performance platforms.
Comfortable exploring unfamiliar codebases, researching cutting-edge techniques, and rapidly prototyping automated solutions.
Experience applying research methods: literature review, data-driven experimentation, analyzing results.
Strong communication skills, with the ability to collaborate effectively with cross-functional silicon engineering, design verification, and EDA development teams.
Minimum Qualifications
Bachelor’s degree in Computer Science, Electrical Engineering, Machine Learning, or a related field (or equivalent practical experience).
Experience in one of the following two areas: Applied AI (experience building, deploying, and maintaining LLM-based applications, agentic workflows, or advanced prompt engineering, combined with an entry-level familiarity with EDA tools or hardware verification concepts), or EDA/Silicon (experience with RTL design, simulation, or hardware emulation platforms, combined with a demonstrated track record of working in research-oriented roles applying software automation or ML to hardware problems).
Experience with scripting, infrastructure development, and software engineering (e.g., Python, C/C++).
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $129,300 and $225,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976