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Generative Ai Entry Level Jobs in Dallas, TX (NOW HIRING)

Aivra Health LLC

AI/ML Engineer

Dallas, TX · On-site

Work with Generative AI, LLMs, prompt engineering, or RAG-based applications. * Deploy and monitor ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

IBM

Intern Application Developer - ServiceNow 2027

Dallas, TX · On-site

$17.50 - $23/hr

... applyingbroadly across all entry-level positions. You'llreceive a status update email for ... generative AI. * Exposure to web services, API, and multiple Java application frameworks highly ...

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Generative Ai Entry Level information

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How much do generative ai entry level jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai entry level in Dallas, TX is $22.24, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $24.47 per hour, depending on experience, location, and employer.

What does a generative AI entry level professional do?

A Generative AI Entry Level professional assists in developing, training, and testing artificial intelligence models that can create new content, such as text, images, or audio. They often work with large datasets, help fine-tune AI models, and support more senior engineers in implementing machine learning algorithms. Typical tasks include data preprocessing, running experiments, evaluating model outputs, and documenting results. This role is ideal for those new to the AI field and looking to gain hands-on experience in generative technologies.

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

As an entry-level professional in Generative AI, you may work on tasks such as data preprocessing, model training, and evaluating the performance of generative models. You'll often collaborate with researchers, data scientists, and software engineers to support more complex projects, such as developing new text or image generation tools. Your contributions help ensure data quality and model accuracy, and you may also assist in documenting results and preparing presentations. This collaborative environment allows you to learn from experienced colleagues while building foundational skills for future growth.

What are the key skills and qualifications needed to thrive as a generative AI entry level professional, and why are they important?

To thrive as a Generative AI Entry Level professional, you need a basic understanding of machine learning concepts, Python programming, and a relevant degree such as computer science or data science. Familiarity with tools like TensorFlow, PyTorch, and version control systems, as well as exposure to cloud platforms, is typically expected. Strong problem-solving abilities, eagerness to learn, and the ability to communicate technical information clearly help individuals stand out in this role. These skills and qualities are crucial to effectively contribute to AI projects, adapt to rapidly evolving technologies, and collaborate within technical teams.

Can I get a generative AI entry level job with no experience?

Entry-level generative AI jobs often require some foundational knowledge of machine learning, programming (such as Python), and familiarity with AI frameworks like TensorFlow or PyTorch. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve chances of securing such roles.

How to start a career in Generative AI?

To start a career in Generative AI, develop a strong foundation in programming languages like Python, learn machine learning and deep learning concepts, and gain experience with frameworks such as TensorFlow or PyTorch. Building a portfolio of projects and obtaining certifications in AI or data science can also improve job prospects in this field.

What are the most commonly searched types of Generative Ai jobs in Dallas, TX?

The most popular types of Generative Ai jobs in Dallas, TX are:

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

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The top searched job categories for Generative Ai Entry Level jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Generative Ai Entry Level jobs?

Cities near Dallas, TX with the most Generative Ai Entry Level job openings:

Generative Ai Entry Level jobs near you
Infographic showing various Generative Ai Entry Level job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 76% In-person, 6% Hybrid, and 18% Remote job distribution, with an average salary of $46,249 per year, or $22.2 per hour.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 10 days ago

Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.

Apply