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Entry Level Generative Ai Engineer Jobs in Addison, TX

United Smart Tech

AI Engineer (Entry-Level)

Carrollton, TX · On-site

$20 - $23/hr

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 ...

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Conversational AI Platform Technical Skills 2 Technology|Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology ...

New

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Conversational AI Platform Technical Skills 2 Technology|Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology ...

New

Infosys Limited Digital

Gen AI Engineer

Dallas, TX · On-site

... Generative AI|Conversational AI Platform Technical Skills 2 Technology|Generative AI|Prompt Engineering Technical Skills 3 Technology|Machine Learning|Generative AI Technical Skills 4 Technology ...

New

Lantern

Azure AI Apps Architect

Dallas, TX · On-site

$62.75 - $81.75/hr

Experience programming in languages such as Python, PySpark, or C# * Strong foundational understanding of the concepts behind machine learning algorithms and generative AI. * Experience engaging in ...

Epsilon

Artificial Intelligence Engineer

Irving, TX

$73K - $136K/yr

Contribute to the development of generative AI and LLM-based solutions using techniques such as prompt engineering, retrieval-augmented generation (RAG), and fine-tuning * Build and operate AI ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

KPMG

AI Engineer- Associate

Dallas, TX · On-site

KPMG is currently seeking an AI Engineer to join our Audit Technology Alliance organization ... Implement, test and deploy features for generative AI products; write clean, high-quality code ...

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics ... Collaborate with data engineers, software developers, and business stakeholders to understand ...

E-Solutions, Inc.

Gen AI Engineer

Richardson, TX · On-site

Experience in Generative AI and Large Language Models (LLMs) * Hands-on experience with agentic ... Prompt engineering & prompt chaining * Conversational AI design patterns * Strong programming ...

New

Tata Consultancy Services

Engineer

Irving, TX · On-site

They are seeking an Engineer with strong hands-on Python knowledge and experience in developing AI-enabled workflows, focusing on API development and generative AI tools. Responsibilities : • AI ...

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$90K - $100K/yr

... Engineering, RAG Architecture, Agentic AI. - Basic knowledge of Hybrid prompting technique ... Generative AI tools like LangChain, Hugging Face, Llama Index etc. Good to have: - Working ...

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All JobsGenerative Ai Engineer JobsEntry Level Generative Ai Engineer JobsEntry Level Generative Ai Engineer Jobs in Addison, TX

Entry Level Generative Ai Engineer information

See Addison, TX salary details

$29K

$67.1K

$114.2K

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

As of Jul 15, 2026, the average yearly pay for entry level generative ai engineer in Addison, TX is $67,146.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,900.00 and $76,000.00 per year, depending on experience, location, and employer.

What are common challenges faced by entry level Generative AI Engineers, and how can they be addressed?

Entry level Generative AI Engineers often encounter challenges such as mastering complex machine learning frameworks, understanding the nuances of training large models, and keeping up with rapidly evolving research. Collaborating closely with more experienced team members through code reviews and pair programming can accelerate learning. It's also helpful to engage in continuous education through online courses and participate in team discussions to stay updated on the latest advancements and best practices in the field.

What is the difference between Entry Level Generative Ai Engineer vs Data Scientist?

AspectEntry Level Generative Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; basic knowledge of machine learning and programmingBachelor's or higher in CS, Statistics, or related; knowledge of data analysis and modeling
Work EnvironmentTech companies, AI startups, research labs focusing on AI model developmentVarious industries including finance, healthcare, marketing; analyzing data to inform decisions
Employer & Industry UsagePrimarily in AI and tech sectors developing generative modelsAcross multiple sectors using data to solve business problems

While both roles require a background in data and programming, Entry Level Generative Ai Engineers focus on developing AI models like generative adversarial networks, whereas Data Scientists analyze data to generate insights. The former is more specialized in AI model creation, while the latter covers broader data analysis tasks.

What are entry level generative AI engineers?

Entry level generative AI engineers are professionals who work with artificial intelligence technologies focused on creating new content such as images, text, audio, or code. They typically assist in developing, training, and fine-tuning machine learning models like GPT or GANs under the supervision of senior engineers. These roles usually require a strong foundation in programming, mathematics, and machine learning concepts, but may not demand extensive industry experience. Tasks often include data preprocessing, model evaluation, and contributing to research or product development involving generative AI.

What are the key skills and qualifications needed to thrive as an Entry Level Generative AI Engineer, and why are they important?

To thrive as an Entry Level Generative AI Engineer, you need a solid background in computer science, mathematics, and machine learning fundamentals, typically supported by a relevant degree or coursework. Familiarity with Python, deep learning frameworks like TensorFlow or PyTorch, and version control systems such as Git is important, along with any foundational certifications in AI or data science. Strong problem-solving ability, curiosity, and effective teamwork skills will help you stand out in this collaborative and innovative field. These skills and qualities are crucial for developing, testing, and improving generative AI models in a rapidly evolving technical landscape.
What are the most commonly searched types of Generative Ai Engineer jobs in Addison, TX? The most popular types of Generative Ai Engineer jobs in Addison, TX are:
What job categories do people searching Entry Level Generative Ai Engineer jobs in Addison, TX look for? The top searched job categories for Entry Level Generative Ai Engineer jobs in Addison, TX are:
What cities near Addison, TX are hiring for Entry Level Generative Ai Engineer jobs? Cities near Addison, TX with the most Entry Level Generative Ai Engineer job openings:
Entry Level Generative Ai Engineer jobs near you
AI Engineer (Entry-Level)

AI Engineer (Entry-Level)

United Smart Tech

Carrollton, TX • On-site

$20 - $23/hr

Full-time

Re-posted 17 days ago

Job description

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 You'll 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 We're Looking For
  • Bachelor's 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.

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