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Entry Level Generative Ai Engineer Jobs in Houston, TX

Scadea

.Net Engineer

Houston, TX

AI Engineer with experience in Azure AI Foundry, Generative AI, and .NET development to build and integrate AI-powered enterprise applications. Design, develop, and maintain .NET applications to meet ...

Sembix LLC

Be Seen First

AI Engineer (Entry-Level Remote)

Houston, TX · Remote

$60K - $75K/yr

Overview We're looking for an AI Engineer fresh out of school or early in your career who's excited to ship real AI-powered features. You'll integrate LLM/AI APIs, build agent workflows, and deliver ...

Hearst

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineer reliable prompts and system instructions; evaluate and fine tune outputs for accuracy ...

Hearst Newspapers

AI Newsroom Developer

Houston, TX · On-site

Build, evaluate, pilot and integrate generative AI and automation tools, including skills and ... Engineer reliable prompts and system instructions; evaluate and fine tune outputs for accuracy ...

Vitol

Forward Deployed Engineer

Houston, TX · Hybrid

Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations.

Vitol

Forward Deployed Engineer

Houston, TX · Hybrid

Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations.

Vitol

Forward Deployed Engineer

Houston, TX · On-site

Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations.

Vitol

Forward Deployed Engineer

Houston, TX · On-site

Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations.

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Entry Level Generative Ai Engineer information

See Houston, TX salary details

$28.6K

$66.2K

$112.7K

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

As of Aug 27, 2026, the average yearly pay for entry level generative ai engineer in Houston, TX is $66,239.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,200.00 and $75,000.00 per year, depending on experience, location, and employer.

What is an entry level generative AI engineer?

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?

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 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 the most commonly searched types of Generative Ai Engineer jobs in Houston, TX?

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

What are popular job titles related to Entry Level Generative Ai Engineer jobs in Houston, TX?

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

What job categories do people searching Entry Level Generative Ai Engineer jobs in Houston, TX look for?

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

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

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

Entry Level Generative Ai Engineer jobs near you
Infographic showing various Entry Level Generative Ai Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, and 3% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $66,239 per year, or $31.8 per hour.

.Net Engineer

Scadea

Houston, TX

Full-time

Posted 22 days ago

Job description

Job Title: .Net Engineer
Location: Houston, TX - 3 days onsite
Length: 6 months
 
This role requires a face-to-face final interview. 
 
AI Engineer with experience in Azure AI Foundry, Generative AI, and .NET development to build and integrate AI-powered enterprise applications.
 
Design, develop, and maintain .NET applications to meet business requirements.
Collaborate with product owners, designers, and other stakeholders to deliver high-quality software solutions.
Write clean, efficient, and maintainable code using best practices.
Perform code reviews to ensure code quality and adherence to coding standards.
Troubleshoot and debug applications to resolve issues in a timely manner.
Optimize application performance and ensure scalability.
Stay updated on the latest .NET technologies and best practices.
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Key Responsibilities
- Develop AI solutions using Azure AI Foundry, Azure OpenAI, LLMs, and RAG architectures.
- Build and integrate AI capabilities into .NET applications using C# and ASP.NET Core.
- Develop REST APIs, microservices, and cloud-based solutions on Azure.
- Implement prompt engineering, AI agents, embeddings, and vector search solutions.
- Collaborate with engineering teams to deliver secure and scalable AI applications.
Required Skills
- Hands-on experience with Azure AI Foundry and Generative AI.
- Strong knowledge of Azure OpenAI, LLMs, RAG, and prompt engineering.
- Strong programming skills in C#, .NET/.NET Core, and Web API.
- Experience with Azure services, REST APIs, SQL, and cloud deployment.
- Familiarity with Semantic Kernel, LangChain, or similar AI frameworks.