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Entry Level Ai Software Engineer Jobs in Texas (NOW HIRING)

Purview Services

AI Software Engineer

Manor, TX · On-site

AI Software Engineer Location: Southlake, TX | Austin, TX Employment Type: Contract We are seeking an experienced AI Software Engineer to help transform how software is built, tested, and delivered ...

Purview Services

AI Software Engineer

Austin, TX · On-site

AI Software Engineer Work Model: Dallas, TX | Austin, TX | San Francisco, CA (Onsite-4 Days ) Duration: Long Term We are seeking an experienced AI Software Engineer to join a team building next ...

IntraEdge

AI software Engineer

Austin, TX

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

IntraEdge

AI software Engineer

Austin, TX

We are seeking an AI Software Engineer to help transform how software is built, tested, and delivered. This role is for a strong software engineer who can use GenAI and agentic development tools as a ...

Deloitte

Applied AI Software Engineer III

Dallas, TX · On-site

$57 - $76.50/hr

Share this job: Share: Share Applied AI Software Engineer III with Facebook Share Applied AI Software Engineer III with LinkedIn Share Applied AI Software Engineer III with Twitter Caution against ...

Vytwo

AI SOFTWARE ENGINEER

Prosper, TX · On-site

AI SOFTWARE ENGINEER Location: Minneapolis, MN, Denver, CO Plano, TX, Cincinnati, OH & Milwaukee, WI PYTHON AND JAVA (SPRING BOOT)/HANDS-ON EXPERIENCE WITH LANGCHAIN, LANGGRAPH, AND AGENTIC AI ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

They are seeking an AI Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle and collaborating with cross-functional teams. Responsibilities : • ...

Retail Industry

Ai Software Engineer

Prosper, TX

AI SOFTWARE ENGINEER Location: Minneapolis, MN, Denver, CO Plano, TX, Cincinnati, OH & Milwaukee, WI PYTHON AND JAVA (SPRINGBOOT)/HANDS-ON EXPERIENCE WITH LANGCHAIN, LANGGRAPH, AND AGENTIC AI ...

Gallatin AI, Inc.

AI Software Engineer

Austin, TX · On-site

They are seeking an AI/ML Software Engineer to develop and deploy AI-powered solutions, working across the full AI/ML lifecycle in collaboration with cross-functional teams. Responsibilities : • ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join ...

System One

Senior AI Software Engineer

Plano, TX · On-site

$118K - $155K/yr

AI Software Engineer Location: Plano, TX (Hybrid - onsite required) Duration: 6+ Months Contract to Hire Start Date: ASAP Position Overview We are seeking an experienced AI Software Engineer to join ...

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Entry Level Ai Software Engineer information

What does an entry level AI software engineer do?

An Entry Level AI Software Engineer assists in designing, developing, and implementing artificial intelligence models and applications. They typically work under the guidance of senior engineers, helping with tasks such as data preprocessing, coding algorithms, testing models, and integrating AI features into larger systems. Their responsibilities may also include debugging code, documenting processes, and staying updated with the latest AI trends and technologies. This role is ideal for those who have a foundational understanding of programming and machine learning concepts and are eager to grow their skills in the rapidly evolving field of AI.

What are the key skills and qualifications needed to thrive as an entry level AI software engineer?

To thrive as an Entry Level AI Software Engineer, you need a solid grasp of programming languages like Python or Java, foundational knowledge in machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and basic data handling tools is typically expected. Strong problem-solving abilities, teamwork, and effective communication help you collaborate with cross-functional teams and articulate complex ideas. These skills and qualities ensure you can contribute to AI projects efficiently and adapt to the rapidly evolving field of artificial intelligence.

What types of projects and responsibilities can an entry level AI software engineer expect in their first year on the job?

As an Entry Level AI Software Engineer, you can typically expect to work on tasks like cleaning and preparing datasets, implementing basic machine learning models, and supporting senior engineers with model evaluation and deployment. You may also be responsible for writing production-ready code, collaborating with data scientists, and participating in code reviews. The work environment is often team-oriented, with frequent opportunities to learn from experienced colleagues and contribute to ongoing research or product development. Over time, you'll gain exposure to more complex projects and may be given greater ownership of specific features or modules.

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

AspectEntry Level Ai Software EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; some knowledge of programming and AI frameworksBachelor's or higher in CS, Statistics, or related; programming skills; knowledge of data analysis
Work EnvironmentSoftware development teams, tech companies, AI startupsData analysis teams, research labs, tech firms
Employer & Industry UsageTech companies, AI startups, R&D departmentsResearch institutions, tech firms, finance, healthcare

While both roles require programming skills and a background in AI or data analysis, Entry Level Ai Software Engineers focus on developing AI applications and software, whereas Data Scientists analyze data to extract insights. The roles often overlap in tech environments, but their core responsibilities differ.

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

The most popular types of Ai Software Engineer jobs in Texas are:

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

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

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

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

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

Cities in Texas with the most Entry Level Ai Software Engineer job openings:

Entry Level Ai Software Engineer jobs near you
Infographic showing various Entry Level Ai Software Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer

Purview Services

Manor, TX • On-site

Other

Posted 23 days ago

Job description

Hiring: AI Software Engineer
Location: Southlake, TX | Austin, TX
Employment Type: Contract
 
We are seeking an experienced AI Software Engineer to help transform how software is built, tested, and delivered using Generative AI and agentic development tools.
 
This role is ideal for a strong software engineer who leverages AI as a force multiplier across the software development lifecycle. You''''ll design and build high-quality software while using AI tools to accelerate coding, testing, refactoring, debugging, documentation, and modernization efforts.
 
What You''''ll Do
Design, develop, test, and maintain scalable software applications
Leverage GenAI tools to accelerate software development and engineering productivity
Create effective prompts, task definitions, and acceptance criteria for AI agents
Review, validate, and improve AI-generated code for quality, security, performance, and maintainability
Generate and enhance unit, integration, and regression tests using AI-assisted workflows
Refactor and modernize existing applications and legacy codebases
Participate in architecture discussions, code reviews, and production support activities
Drive adoption of AI-enabled engineering best practices across development teams
 
Required Qualifications
Strong programming experience in one or more of the following:
Java
Python
JavaScript / TypeScript
Go
C#
Strong software engineering and computer science fundamentals
Experience designing and building APIs, microservices, and distributed applications
Experience with databases, cloud platforms, CI/CD pipelines, and automated testing
Hands-on experience using GenAI coding tools such as GitHub Copilot, ChatGPT, Claude, Gemini, Cursor, Windsurf, or similar
Ability to evaluate, validate, and improve AI-generated code
Strong understanding of secure coding practices and maintainable software design
 
Preferred Qualifications
Experience with agentic development and AI-powered coding workflows
Experience with software modernization and legacy transformation initiatives
Cloud-native application development experience (AWS, Azure, or Google Cloud Platform)
Experience working in large-scale enterprise or regulated environments
Experience measuring engineering productivity and quality improvements through AI-assisted development
 
What We''''re Looking For
Strong coding and problem-solving skills
Passion for software engineering excellence
Ability to effectively collaborate with AI tools while maintaining engineering judgment
Strong communication and teamwork skills
Ownership mindset and commitment to delivering high-quality software

Apply