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Entry Level Ai Engineer Jobs (NOW HIRING)

AI Engineer (Entry-Level) - Agents & Experimentation For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help ...

Join Galore Creative as an Entry-Level AI Content Writer and Ignite Your Career in the Exciting ... Work side-by-side with seasoned AI engineers and content creators to craft compelling, informative ...

For entry level Job seekers to get client interviews and jobs they need to differentiate themselves ... Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates ...

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... programming languages commonly used in AI applications (Python, JavaScript) Experience taking ...

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Entry Level Ai Engineer information

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$30K

$69.4K

$118K

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

As of Jun 6, 2026, the average yearly pay for entry level ai engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

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.

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 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.
More about Entry Level Ai Engineer jobs
What cities are hiring for Entry Level Ai Engineer jobs? Cities with the most Entry Level Ai Engineer job openings:
What are the most commonly searched types of Ai Engineer jobs? The most popular types of Ai Engineer jobs are:
What states have the most Entry Level Ai Engineer jobs? States with the most job openings for Entry Level Ai Engineer jobs include:
Infographic showing various Entry Level Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 74% Full Time, 14% Part Time, and 11% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

Full-time

Posted 8 days ago


Job description

Salary: $20-$23/hour

AI Engineer (Entry-Level) Agents & Experimentation


For more than 25 years, Asurion has led innovation in tech solutions while building a culture where employees feel valued and supported. We help people stay connected by providing expert advice, reliable repair services, and device protection across all their technology.


We are looking for an entry-level AI Engineer to join our internal AI lab and help build, test, and deploy AI-powered agents across business workflows. This role is ideal for someone who learns by doing, thrives in ambiguity, and is excited about experimenting with cutting-edge AI models and tools.

You will work closely with cross-functional teams to turn early ideas into working prototypes and explore where AI can create real operational impact.



What Youll Do

  • Build and deploy AI agents for internal tools and customer-facing use cases
  • Experiment with frontier and open-source models (e.g., Claude, GPT-based models, and emerging frameworks)
  • Rapidly prototype ideas, test performance, and iterate based on results
  • Integrate AI models with APIs, workflows, and business systems
  • Research and apply new AI tools, libraries, and agent frameworks as they emerge
  • Collaborate with teams to identify opportunities where AI can improve efficiency or automation



What Were Looking For

  • Bachelors degree in Computer Science, Engineering, or related field (completed or in progress)
  • Strong programming skills, preferably in Python
  • Experience working with APIs and basic backend integration
  • Demonstrated curiosity in AI/ML through personal projects, experiments, or coursework
  • High ownership mindset able to take vague problems and build solutions independently
  • Comfortable working in fast-changing environments with minimal structure
  • Strong problem-solving and experimentation mindset



Nice to Have

  • Experience building personal AI projects, bots, or automation tools
  • Familiarity with LLM APIs, prompt engineering, or agent frameworks
  • Exposure to cloud platforms or deployment tools
  • GitHub portfolio or live projects


Note: AI Projects Portfolio Request

Please prepare a portfolio showcasing the AI projects completed so far. The portfolio should include a brief description of each project, its purpose, key features, tools/technologies used, and the current status or outcomes. This will help provide a clear overview of the work completed to date.


uBreakiFix is an equal-opportunity employer, dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.