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Agentic Ai Engineer Jobs in Texas (NOW HIRING)

Agentic AI Engineer

Plano, TX · On-site

$76K - $103K/yr

Agentic AI Engineer Columbus, OH / Plano, TX - Onsite 12+ Months Required: 15+ Years Job Overview Client is seeking an experienced Agentic AI Engineer to design, develop, and support enterprise-scale ...

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

Agentic AI Engineer

Houston, TX · On-site

$103.15 - $158.59/hr

The Agentic AI Engineer , within the Data & AI team, designs and ships agentic workflows that turn unstructured knowledge and structured operational data into autonomous capabilities for engineers ...

New

We are seeking an experienced Agentic AI Engineer to design, build, and deploy enterprise-scale AI agents for large organizations. This role is focused on engineering production grade AI systems not ...

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer

Dallas, TX · On-site

$150 - $200/hr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer

Dallas, TX · On-site

$150 - $210/hr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

New

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

Opportunity for advancement AI Engineer - Agentic AI | LLM | LangGraph | LangChain Location: Dallas, TX (Hybrid) Duration: 12+ Months Interview Process: Technical Screening + Final In-Person ...

Agentic AI Engineer Lead

Dallas, TX · On-site

$101K - $133K/yr

Agentic AI Engineer Lead Location: Dallas, TX & Basking ridge, NJ - Day one Onsite ( 5 days) Duration: Long term contract ** Prior Telecom domain experience will be a plus*** We have 2 in Dallas, TX ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

Agentic AI Engineer

Conroe, TX · On-site

$100K - $120K/yr

... AI/ML, LLM solutions, and hands-on development of agentic systems and autonomous workflows. • Strong proficiency in Python, REST APIs, prompt engineering, RAG pipelines, and stateful agent ...

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Showing results 1-20

Agentic Ai Engineer information

See Texas salary details

$36.3K

$94.8K

$128.1K

How much do agentic ai engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for agentic ai engineer in Texas is $94,798.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $108,500.00 per year, depending on experience, location, and employer.

Is agentic AI engineer a good career?

Agentic AI engineering is a growing field focused on developing autonomous AI systems, requiring skills in machine learning, programming, and systems design. It offers opportunities in research, development, and deployment across various industries, with demand expected to increase as AI technology advances. The role typically requires a strong technical background and continuous learning to stay current with evolving tools and techniques.

What does an Agentic AI Engineer do?

An Agentic AI Engineer designs and develops autonomous AI systems capable of making decisions and taking actions independently. They work with machine learning models, reinforcement learning, and robotics, often requiring skills in programming, data analysis, and system integration to create intelligent agents that can operate in dynamic environments.

What cities in Texas are hiring for Agentic Ai Engineer jobs?

Cities in Texas with the most Agentic Ai Engineer job openings:

Infographic showing various Agentic Ai Engineer job openings in Texas as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $94,798 per year, or $45.6 per hour.

Agentic AI Engineer

Puresoft, Inc.

Plano, TX • On-site

$76K - $103K/yr

Other

Posted 5 days ago


Job description

Agentic AI Engineer

Columbus, OH / Plano, TX - Onsite
12+ Months

Required: 15+ Years


Job Overview

Client is seeking an experienced Agentic AI Engineer to design, develop, and support enterprise-scale AI applications that leverage agent-based architectures and large language models. This role will focus on building intelligent, autonomous systems that enhance customer experiences and drive innovation within the Chase Mobile App ecosystem.

The ideal candidate will have strong software engineering fundamentals, hands-on experience with Agentic AI frameworks, and expertise in developing production-grade AI solutions in highly regulated enterprise environments.

Key Responsibilities

Design, build, and maintain Agentic AI applications and intelligent automation solutions.

Develop and support production-grade applications using Python and Java.

Design and orchestrate multi-agent workflows, agent collaboration patterns, and autonomous decision-making systems.

Build integrations with enterprise tools, APIs, and external services.

Develop AI-powered applications leveraging large language models (LLMs), retrieval systems, and agent frameworks.

Optimize performance, scalability, and reliability of AI-enabled applications.

Implement testing, monitoring, and observability practices for AI systems in production.

Collaborate with software engineers, architects, and product stakeholders to deliver enterprise AI solutions.

Ensure adherence to responsible AI practices, security standards, and model governance requirements.

Troubleshoot and resolve issues across AI applications and supporting infrastructure.

Required Qualifications

7+ years of software engineering experience.

Strong hands-on programming experience with Python and Java.

Proven experience building, deploying, and supporting Agentic AI solutions in enterprise environments.

Hands-on experience with:

Python

Java

LangGraph

vLLM

Experience designing and managing multi-agent systems and autonomous workflows.

Strong understanding of AI application architecture, LLM integration, and retrieval-based systems.

Experience with API development, microservices architecture, and modern integration patterns.

Experience monitoring, troubleshooting, and supporting AI-enabled applications in production.

Knowledge of responsible AI principles, AI governance, security, and compliance best practices.

Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience working within large-scale enterprise environments.

Financial services industry experience.

Knowledge of cloud-native development and containerized applications.

Familiarity with MLOps, model lifecycle management, and AI monitoring frameworks.

Experience integrating AI solutions with enterprise software ecosystems.

Understanding of secure software development practices and SDLC methodologies.

What You'll Bring

Ability to transform business requirements into scalable AI solutions.

Passion for emerging AI technologies and agent-based systems.

Strong collaboration skills and the ability to work within cross-functional agile teams.

Experience delivering innovative, production-ready AI applications that generate measurable business value.