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Intern Ai Agent Developer Jobs in Texas (NOW HIRING)

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration: 6-12 months (12 months preferred) Company: Black Box Eligibility: Master's students with at least 6 ...

They need to be technically very strong and have developed and run multi agent deployments. Client has more focus for hands-on experience in prompt engineering and AI agent build and deployment Is ...

AI Agent Engineer

Irving, TX · On-site

$14 - $18.50/hr

Required : • Python/Java/Typescript programming • LLM APIs • Agent development • Custom ... AI Tools like (Claude Code, GHCP) • VS Code & IntelliJ extensions Company : Infosys is a ...

AI Agent Engineer

Irving, TX · On-site

$14 - $18.50/hr

Required : • Python/Java/Typescript programming • LLM APIs • Agent development • Custom ... AI Tools like (Claude Code, GHCP) • VS Code & IntelliJ extensions Company : Infosys is a ...

AI Agent Product Manager

Austin, TX · On-site

$160K - $200K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

AI Agent Product Manager

Austin, TX · On-site

$110K - $160K/yr

Do hands-on prompt engineering using AI tools to build the components that make agents work ... Continuously improve agent performance using structured evals, live call review, and direct ...

Identify and validate high-impact AI agent use cases across business units. * Drive adoption and ... Partner with engineering, data science, security, and compliance to translate business needs into ...

Agentic AI Developer Location : Irving (Tx) office (Primary)/ Chalotte (Secondary) Key ... multi-agent orchestration workflows · Enable agents to interact with enterprise systems (APIs ...

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Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

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

The most popular types of Ai Agent Developer jobs in Texas are:

What job categories do people searching Intern Ai Agent Developer jobs in Texas look for?

The top searched job categories for Intern Ai Agent Developer jobs in Texas are:

What cities in Texas are hiring for Intern Ai Agent Developer jobs?

Cities in Texas with the most Intern Ai Agent Developer job openings:

Infographic showing various Intern Ai Agent Developer job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, 17% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

Software Developer(AI/ML)

PROLIM Global Corporation

Austin, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

I. DESCRIPTION OF SERVICES
Researching, designing, implementing and managing software programs. Testing and evaluating new programs. Working closely with other developers, UX designers, business and systems analysts.
AI Agent Engineer Designs and develops AI-driven agentic solutions, including autonomous workflows and Retrieval-Augmented Generation (RAG) systems, to enhance productivity, automate processes, and support intelligent decision-making with a focus on governance, security, and cost efficiency.
II. CANDIDATE SKILLS AND QUALIFICATIONS
Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
4
Required
experience in AI/ML engineering or advanced data science
4
Required
Proven track record of building and deploying production-grade autonomous agents.
4
Required
Strong experience in context engineering
4
Required
Deep experience with LangChain, LangGraph, CrewAI, or AutoGPT.
4
Required
Experience implementing RAG architectures using vector databases
4
Required
Proficiency in Python and AI/ML libraries (OpenAI, Hugging Face, Azure AI)
4
Required
Experience integrating LLMs via APIs Knowledge of AI governance, model lifecycle management, and evaluation
4
Required
Experience implementing and extending the Model Context Protocol (MCP) to provide LLMs with secure, standardized access to local and remote data sources Experience implementing AI guardrails, content filtering, and safety controls
4
Required
Understanding of data privacy and handling of sensitive data (PII/PHI)
2
Preferred
Experience building multi-agent or autonomous agentic workflows
2
Preferred
Experience optimizing LLM cost, token usage, and performance
2
Preferred
Familiarity with enterprise AI deployment patterns and scalability considerations
Solicitation Reference Number: 529601688
Customer/Dept: Texas Health and Human Services Commission
Hybrid - 3 days remote with 2 days (Tues & Wed) required to be onsite