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Generative Ai Developer Jobs in Texas (NOW HIRING)

MSRcosmos LLC

.NET AI Engineer

Austin, TX · On-site

$96K - $132K/yr

Azure Developer Associate * Microsoft Certified: Azure Solutions Architect Expert * Generative AI / OpenAI Certifications * Microsoft Azure Data Engineer Certifications Experience Requirements

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Precision Technologies Corp

AI Engineer

Dallas, TX · On-site

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Public Storage

Generative AI/LLM Engineer

Frisco, TX · On-site

We are seeking a Generative AI / LLM Engineer with strong full-stack and Python development expertise to design, build, and deploy intelligent agents, Retrieval-Augmented Generation (RAG) systems ...

Winaxis

AI Engineer

Dallas, TX · On-site

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

Qualizeal

Tech Lead AI Engineer

Dallas, TX · On-site

$101K - $134K/yr

Design and implement generative AI solutions using large language models, prompt engineering, retrieval-augmented generation, embeddings, and vector databases. Build AI agents and workflows capable ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Aquent

Senior AI Developer

Southlake, TX · On-site

$81.90 - $91/hr

Lead the integration and application of Generative AI coding assistants throughout the System ... Collaborate with fellow developers, architects, and adjacent teams, fostering a culture of ...

Citi

Principal Generative AI Engineer, SVP

Irving, TX · On-site

Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation ...

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Generative Ai Developer information

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$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for generative ai developer in Texas is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $51.06 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

What are the key skills and qualifications needed to thrive as a generative AI developer?

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

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

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

What are popular job titles related to Generative Ai Developer jobs in Texas?

For Generative Ai Developer jobs in Texas, the most frequently searched job titles are:

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

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

What cities in Texas are hiring for Generative Ai Developer jobs?

Cities in Texas with the most Generative Ai Developer job openings:

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Texas as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, 4% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $87,761 per year, or $42.2 per hour.

.NET AI Engineer

MSRcosmos LLC

Austin, TX • On-site

$96K - $132K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job description

Job Title: .NET AI Engineer

Austin, TX



  • .NET Core
  • GitHub Copilot
  • JSON
  • Microservices
  • Prompt Engineering
  • Azure OpenAI
  • C#
  • REST APIs
  • Azure Cloud Services
  • AI/Generative AI Development


Job Summary

We are seeking a highly skilled .NET AI Engineer to design, develop,Mandatory Skillsand deploy AI-driven applications leveraging the Microsoft technology ecosystem. The ideal candidate will possess strong expertise in .NET development, Azure AI Services, Generative AI, OpenAI technologies, cloud platforms, and modern software engineering practices.

This role involves developing intelligent enterprise applications, integrating Large Language Models (LLMs), building AI agents, and delivering scalable, secure, and innovative AI solutions.

Key Responsibilities

  • Design, build, and maintain enterprise-grade applications using C#, .NET Core/.NET 8, ASP.NET MVC, and Web APIs.
  • Integrate Generative AI capabilities utilizing Azure OpenAI, OpenAI APIs, and Microsoft AI Services.
  • Develop AI-powered solutions such as chatbots, copilots, intelligent search platforms, and workflow automation systems.
  • Architect and optimize Retrieval-Augmented Generation (RAG) applications using vector databases.
  • Implement AI orchestration frameworks including Semantic Kernel, LangChain, AutoGen, or equivalent technologies.
  • Design and develop RESTful APIs and microservices to support AI-enabled applications.
  • Apply advanced prompt engineering techniques and AI model optimization strategies.
  • Work with databases including SQL Server, Cosmos DB, PostgreSQL, and MongoDB.
  • Deploy and manage applications on Microsoft Azure using App Services, Azure Functions, AKS, and containerized environments.
  • Ensure solution security, scalability, governance, and compliance with enterprise standards.
  • Collaborate with architects, business stakeholders, and cross-functional teams throughout the project lifecycle.


Required Technical Skills

.NET Development

  • C#
  • .NET Core / .NET 8
  • ASP.NET MVC & Web API
  • Entity Framework Core
  • LINQ
  • Dependency Injection
  • Microservices Architecture
  • REST API Development

AI & Generative AI

  • Azure OpenAI Service
  • OpenAI APIs (GPT Models)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • AI Agent Development
  • Semantic Kernel
  • LangChain
  • LLM Fine-Tuning Concepts
  • Vector Databases:
  • Azure AI Search
  • Pinecone
  • Weaviate
  • ChromaDB

Cloud & DevOps

  • Microsoft Azure
  • Azure Functions
  • Azure App Services
  • Azure AI Services
  • Docker
  • Kubernetes (AKS)
  • CI/CD Pipelines
  • Azure DevOps
  • GitHub Actions

Databases

  • SQL Server
  • Cosmos DB
  • PostgreSQL
  • MongoDB
  • Data Modeling & Performance Optimization


Preferred Qualifications

  • Experience with Microsoft Copilot Studio
  • Knowledge of Machine Learning (ML) and MLOps
  • Experience integrating solutions with the Microsoft Power Platform
  • Familiarity with Natural Language Processing (NLP), OCR, Speech-to-Text, and Azure Document Intelligence
  • Exposure to TensorFlow, PyTorch, and Python AI frameworks
  • Experience working on Banking, Financial Services, and Insurance (BFSI) domain projects

Educational Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline


Key Competencies

  • Strong analytical and problem-solving abilities
  • Excellent communication and stakeholder management skills
  • Experience working in Agile/Scrum environments
  • Advanced debugging, troubleshooting, and performance optimization expertise
  • Passion for continuous learning and adoption of emerging AI technologie


Preferred Certifications

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure Developer Associate
  • Microsoft Certified: Azure Solutions Architect Expert
  • Generative AI / OpenAI Certifications
  • Microsoft Azure Data Engineer Certifications


Experience Requirements

  • Hands-on experience with Azure OpenAI, Semantic Kernel, and Azure AI Search
  • Proven experience designing and deploying AI-powered enterprise applications on Microsoft Azure
  • Strong understanding of AI application architecture, LLM integration, and cloud-native development


Skills

Mandatory Skills : .Net Core, GitHub Co-Pilot, JSON, Microservices, Prompt Engineering

Apply