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Entry Level Ai Agent Developer Jobs in Texas (NOW HIRING)

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

Winaxis

AI/ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

UpSmith

AI Outcomes Associate

Dallas, TX · On-site

Agent deployments become faster, more repeatable, and less bespoke * Product and engineering ... Prior experience deploying AI or automations into production environments * Familiarity with ...

UpSmith

AI Outcomes Associate

Dallas, TX

Agent deployments become faster, more repeatable, and less bespoke * Product and engineering ... Prior experience deploying AI or automations into production environments * Familiarity with ...

UpSmith

AI Outcomes Associate

Dallas, TX · On-site

Agent deployments become faster, more repeatable, and less bespoke * Product and engineering ... Prior experience deploying AI or automations into production environments * Familiarity with ...

Roku

Software Engineer, Embedded Agentic AI

Austin, TX

$130K - $171K/yr

This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools ...

Braviant Holdings

AI and Automation Engineer

Dallas, TX · On-site

They are hiring an AI and Automation Engineer to design, deploy, and govern AI-powered automation ... Responsibilities : • Design and build AI agent workflows that automate or accelerate business ...

Roku

Software Engineer, Embedded Agentic AI

Austin, TX · On-site

$130K - $171K/yr

This is a hands-on engineering role for someone who treats AI agent design as an engineering discipline: architecting durable systems, grounding them in the right context, integrating them with tools ...

Judge Group, Inc.

Senior AI Engineer

Mesquite, TX · On-site

$150K - $170K/yr

Strong portfolio demonstrating multi-tier, 12-factor applications built with AI developer agents * Experience directing AI agent teams end-to-end * Ability to identify and correct AI-generated SOLID ...

Braviant Holdings

AI and Automation Engineer

Dallas, TX · On-site +1

What You'll Build Agent & Workflow Development Design and build AI agent workflows that automate or ... Engineering Manage, build, and maintain MCP (Model Context Protocol) servers and clients to give ...

Capitol Services

AI Engineer

Austin, TX

Python, LLMs (e.g., Claude, GPT), Retrieval-Augmented Generation (RAG), MCP, Agentic AI systems, Generative AI, and AI Agent orchestration. * Preferred: You have experience as a Full-Stack Engineer ...

Centraprise Corp

Junior AI Developer

Dallas, TX · On-site

$66K - $86K/yr

Junior AI Developer Job Location: Cleveland, OH / Pittsburgh, PA / Dallas, TX Job Type: Fulltime ... Support development of workflows, app components, connector configurations, and agent experiences.

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Entry Level Ai Agent Developer information

What are Entry Level AI Agent Developers?

Entry Level AI Agent Developers are professionals who assist in designing, building, and maintaining artificial intelligence agents, such as chatbots or virtual assistants, often under the supervision of more experienced engineers. They typically work with programming languages like Python and use machine learning frameworks to help create intelligent systems that can interact with users or perform tasks autonomously. These roles are suited for those new to the field and often require a foundational understanding of AI concepts, basic coding skills, and a willingness to learn advanced topics on the job.

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

To thrive as an Entry Level AI Agent Developer, you need a solid understanding of programming languages (such as Python), basic machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AI frameworks (like TensorFlow or PyTorch), API integration, and version control systems (e.g., Git) is typically required. Problem-solving ability, eagerness to learn, and effective teamwork are standout soft skills for this role. These skills and qualities are vital for building, maintaining, and improving AI agents in a collaborative and rapidly evolving tech environment.

What are some typical projects or tasks an Entry Level AI Agent Developer can expect to work on during their first year?

As an Entry Level AI Agent Developer, you can expect to work on tasks such as building and fine-tuning conversational AI agents, assisting with data preprocessing, and implementing basic machine learning models under the guidance of senior engineers. You’ll likely contribute to updating or troubleshooting existing AI agents, performing code reviews, and writing test cases. Collaboration with data scientists, UX designers, and product managers is common, giving you exposure to the full development lifecycle and valuable opportunities to learn from experienced colleagues.

What is the difference between Entry Level Ai Agent Developer vs Data Analyst?

AspectEntry Level Ai Agent DeveloperData Analyst
Required CredentialsBachelor's in CS, AI, or related field; basic programming skillsBachelor's in Statistics, Math, or related field; data analysis skills
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare sectors
Employer & Industry UsageDeveloping AI agents, chatbots, automation toolsInterpreting data, creating reports, supporting decision-making

Entry Level Ai Agent Developers focus on creating and refining AI agents and chatbots, often requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, typically with statistical skills. While both roles involve data and technology, they serve different functions within organizations. The choice depends on your interest in AI development versus data interpretation.

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 are popular job titles related to Entry Level Ai Agent Developer jobs in Texas? For Entry Level Ai Agent Developer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Entry Level Ai Agent Developer jobs in Texas look for? The top searched job categories for Entry Level Ai Agent Developer jobs in Texas are:
What cities in Texas are hiring for Entry Level Ai Agent Developer jobs? Cities in Texas with the most Entry Level Ai Agent Developer job openings:
Entry Level Ai Agent Developer jobs near you
Infographic showing various Entry Level Ai Agent Developer job openings in Texas as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 83% In-person, and 17% Remote job distribution.
AI/ML Engineer

AI/ML Engineer

Winaxis

Dallas, TX • On-site

$113K - $136K/yr

Full-time

Re-posted yesterday

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)