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Generative Ai Entry Level Jobs in Texas (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 ...

Kyndryl

  • Medical

  • Dental

  • Retirement

  • PTO

The Role Your role The Associate AI Engineer is an entry-level technical role supporting the design ... AI Engineering Path Build, test, and deploy AI-powered applications, generative AI solutions ...

Amazon

Associate Account Executive , Enterprise

Austin, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is not your typical entry-level sales role - it's a launchpad. At Amazon, our peculiar culture ... explosion of generative AI, the opportunity has never been larger. You'll be at the forefront ...

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Generative Ai Entry Level information

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 do not require extensive experience but typically expect familiarity with programming languages like Python, basic understanding of machine learning concepts, and knowledge of AI tools such as TensorFlow or PyTorch. Building a portfolio through online courses, tutorials, or personal projects can improve chances of securing such roles without prior work experience.

How to start a career in Generative Ai Entry Level?

To start a career in Generative AI at an entry level, develop foundational skills in programming languages like Python, learn machine learning concepts, and gain experience with AI frameworks such as TensorFlow or PyTorch. Building a portfolio of projects, completing relevant online courses, and staying updated on AI research can improve job prospects in this field.

What are the most commonly searched types of Generative Ai jobs in Texas?

The most popular types of Generative Ai jobs in Texas are:

What are popular job titles related to Generative Ai Entry Level jobs in Texas?

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

What job categories do people searching Generative Ai Entry Level jobs in Texas look for?

The top searched job categories for Generative Ai Entry Level jobs in Texas are:

What cities in Texas are hiring for Generative Ai Entry Level jobs?

Cities in Texas 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 Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 68% In-person, and 32% Remote job distribution.

AI/ML Engineer

Aivra Health LLC

Dallas, TX • On-site

Other

Posted 6 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