ZipRecruiter

Log In

2

Entry Level Generative Ai Engineer Jobs in Addison, TX

KPMG

AI Engineer- Senior Associate

Dallas, TX · On-site

$121K - $159K/yr

Develop and implement core components of generative AI solutions; build robust, scalable features aligned with business requirements * Collaborate with senior engineers and product managers to ...

Copart, Inc.

Software Engineering Intern

Dallas, TX · On-site

Develop and maintain mobile applications with a focus on AI, LLM, and generative AI integration ... engineering strategies for LLMs * Collaborate with cross-functional teams to understand project ...

Neighborlybrands

AI Internship

Irving, TX · Hybrid

Experience with Generative AI, LLMs, prompt engineering, or AI agents. * Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. * Experience working with SQL, APIs, and data ...

next page

Showing results 1-20

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 17, 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
Gen AI Engineer (Developer Productivity Tools)

Gen AI Engineer (Developer Productivity Tools)

InfoVision, Inc.

Irving, TX • On-site

Full-time

Re-posted 11 days ago

Job description

Job Description:
We are looking for a software engineer with experience in TypeScript, Node.js, and Generative AI to build AI-powered developer productivity tools and IDE extensions. The role involves developing VS Code extensions that integrate with Large Language Models (LLMs) to assist developers with code generation, code analysis, documentation, refactoring, and AI-assisted software development workflows.
Key Responsibilities:
• Design and develop VS Code extensions using TypeScript and Node.js.
• Integrate AI/LLM platforms such as OpenAI, Azure OpenAI, Claude, or Gemini.
• Build AI-assisted features for code generation, code explanation, refactoring, and documentation.
• Develop integrations with enterprise development tools and APIs.
• Create intuitive developer experiences through editor extensions, side panels, commands, and workflows.
• Work with engineering teams to identify opportunities for AI-driven productivity improvements.
• Ensure scalability, security, and performance of AI-powered development tools.
Required Skills:
• Strong experience in TypeScript and Node.js.
• Experience building VS Code Extensions or IDE plugins.
• Experience with Generative AI / LLM integrations.
• Familiarity with OpenAI, Azure OpenAI, Claude, Gemini, or similar AI platforms.
• Knowledge of REST APIs and modern software development practices.
• Experience with Git and CI/CD processes.
Preferred Skills:
• Experience with AI Agents, RAG, Embeddings, or MCP.
• Experience with React for extension UI development.
• Familiarity with Language Server Protocol (LSP).
• Experience building developer productivity or engineering platform tools.
• Knowledge of software architecture and code analysis techniques.

Apply