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Entry Level Ai Engineer Jobs in Austin, TX (NOW HIRING)

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications ...

Atlas Energy Solutions

AI Developer

Austin, TX · On-site

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications ...

Atlas Energy Solutions

AI Developer

Austin, TX · Remote

The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities * AI-powered features and applications ...

Four Hands

Entry level Data Engineer - New Grad

Austin, TX · Hybrid

$113K - $136K/yr

As an Entry Level Data Engineer, you'll help build and support the data pipelines, integrations ... and AI capabilities across Four Hands. Authorization * Candidates must be legally authorized to ...

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Entry Level Ai Engineer information

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$29.7K

$68.8K

$117K

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

As of Aug 28, 2026, the average yearly pay for entry level ai engineer in Austin, TX is $68,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $77,800.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Austin, TX?

The most popular types of Ai Engineer jobs in Austin, TX are:

What are popular job titles related to Entry Level Ai Engineer jobs in Austin, TX?

For Entry Level Ai Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Austin, TX look for?

The top searched job categories for Entry Level Ai Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Entry Level Ai Engineer jobs?

Cities near Austin, TX with the most Entry Level Ai Engineer job openings:

Entry Level Ai Engineer jobs near you
Infographic showing various Entry Level Ai Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 76% Full Time, 21% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $68,752 per year, or $33.1 per hour.

Applied AI Engineer (EDA), Platform Architecture

Austin, TX • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Apple Inc.external

$100 - $130/hr

Other

Re-posted 16 days ago

Job description

Applied AI Engineer(EDA), Platform Architecture

Austin, Texas, United States Machine Learning and AI

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.
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++).
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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Learn about accessibility in Apple’s workplace

Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.

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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

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Benefits

Hours and flexibility

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