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Generative Ai Developer Jobs in Mansfield, TX (NOW HIRING)

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Hiring Alert | Generative AI Engineer Location: Irving, TX (Onsite) Employment Type: Full-Time Experience Required: 6+ Years Visa Type: USC / GC Only Interview Mode: In-person (Final Round) Must-Have ...

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Generative AI Engineer Location: DFW preferred or open to candidates working remotely in EST/CST timezones Salary Range: $120k to $165k About the Role We are seeking a highly skilled Generative AI ...

Senior Azure Generative AI Engineer Dallas TX @Orchard LLC is seeking a Senior Azure Generative AI ... Familiarity with Git, Azure DevOps, and container technologies (Docker/Kubernetes) is preferred.

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

The ideal candidate combines software and data engineering fundamentals with genuine enthusiasm for generative AI. Because the field and team are still evolving, this person must be comfortable ...

New

AI Developer

Dallas, TX · On-site

$115K - $140K/yr

The ideal candidate combines software and data engineering fundamentals with genuine enthusiasm for generative AI. Because the field and team are still evolving, this person must be comfortable ...

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Prompt Engineering, Workflow Design, and GenAI Optimization Tools & Platforms: GitHub Copilot (multiple models), Citi Squad ...

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Prompt Engineering, Workflow Design, and GenAI Optimization Tools & Platforms: GitHub Copilot (multiple models), Citi Squad ...

Hands-on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar) * Familiarity with software engineering fundamentals ...

Hands-on exposure to building applications with large language models or generative AI APIs (e.g., Claude, OpenAI, Azure OpenAI, or similar) * Familiarity with software engineering fundamentals ...

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

New

Generative AI Lead

Irving, TX · On-site

$134K - $165K/yr

Contribute to prompt engineering and development of AI-powered workflows * Assist with the ... Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus.

Damco Solutions is seeking a Generative AI Specialist responsible for designing, developing, and ... programming skills in languages such as Python, TensorFlow, or PyTorch • Experience with deep ...

AI Lead( Generative AI)

Irving, TX · On-site

$134K - $165K/yr

Key Responsibilities: · Contribute to prompt engineering and development of AI-powered workflows ... Experience with generative AI tools (LangChain, Hugging Face, LlamaIndex) is a plus. · ...

Senior AI Developer

Southlake, TX · On-site

$85 - $90/hr

Apply Generative AI strategies to reduce context switching and accelerate delivery across various engineering workflows. Translate low-level design artifacts (such as class structures, API contracts ...

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Generative Ai Developer information

See Mansfield, TX salary details

$17

$40

$90

How much do generative ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for generative ai developer in Mansfield, TX is $40.59, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $49.13 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 job categories do people searching Generative Ai Developer jobs in Mansfield, TX look for?

The top searched job categories for Generative Ai Developer jobs in Mansfield, TX are:

What cities near Mansfield, TX are hiring for Generative Ai Developer jobs?

Cities near Mansfield, TX with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Mansfield, TX as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $84,423 per year, or $40.6 per hour.

Senior Generative AI Developer

Irving, TX • On-site

Programmers.io
IT Services • 501 - 1,000 employees

$116K - $157K/yr

Full-time

Re-posted 21 days ago


Job description

Job Description:
We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have strong expertise in Python programming, FastAPI, and cloud platforms (AWS, Azure, or GCP). This role requires a deep understanding of system architecture design, scalable APIs, and end-to-end AI solution development.

Key Responsibilities:
Architect and develop Generative AI applications using RAG frameworks for enterprise-scale solutions.
Design and implement robust system architectures for AI-driven platforms ensuring scalability, security, and performance.
Build and optimize APIs using FastAPI for seamless integration with AI models and data pipelines.
Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows.
Implement data ingestion, preprocessing, and retrieval mechanisms for large-scale knowledge bases.
Ensure compliance with best practices for cloud deployment (AWS, Azure, or GCP).
Conduct performance tuning and optimization of AI models and APIs.
Stay updated with the latest advancements in Generative AI, LLMs, and RAG methodologies.

Required Skills & Qualifications
8+ years of professional experience in software development and system design.
Strong proficiency in Python and experience with FastAPI for API development.
Hands-on experience with Generative AI frameworks and RAG architectures.
Solid understanding of system and architecture design principles for distributed applications.
Experience deploying solutions on any major cloud platform (AWS, Azure, GCP).
Familiarity with vector databases, embedding models, and retrieval pipelines.
Strong problem-solving skills and ability to work in a fast-paced environment.

Preferred Qualifications
Experience with LLM fine-tuning, prompt engineering, and model evaluation.
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Exposure to CI/CD pipelines and DevOps practices.