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Genai Developer Jobs in Texas (NOW HIRING)

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python / GenAI Developer (Junior & Senior Roles Available) Location: Dallas, TX Position Overview We are seeking Junior and Senior Python Developers specializing in Generative AI and LangGraph to ...

Gen AI with Python

Dallas, TX · Hybrid

$49.75 - $68.50/hr

GenAI Engineer / GenAI Developer - Python Location: Dallas, TX (Hybrid) Employment Type: W2 Only Experience: 8+ Years Duration: 12+ Months Contract with Possible Extension Job Summary We are looking ...

Role: GenAI Engineer AWS Bedrock Location: Plano, TX-Hybrid Type: 12+Months Required Skills * 8+ years of software development experience. * 3+ years of hands-on experience in Generative AI/LLM ...

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

GenAI Agentic AI Developer Location: Houston, TX (Hybrid) Job Summary Seeking an experienced GenAI Agentic AI Developer to develop, enhance, fine-tune, and extend GenAI agents and orchestrators ...

SRE/DevOps Engineer - GenAI

Austin, TX · On-site

$56.50 - $75/hr

Experience integrating GenAI solutions with cloud, Kubernetes, and DevOps toolchains * Ability to support and operate GenAI workloads in AWS and Kubernetes environments

Senior Java Developer GenAI & Microservices

Dallas, TX · On-site

$56.75 - $72.50/hr

We are hiring a Senior Java Developer GenAI & Microservices to join our Digital Engineering team. Who are we? For the past 20 years, we have powered many Digital Experiences for the Fortune 500.

Sr. Data/GenAI Engineer

Irving, TX · On-site

$101K - $138K/yr

Role : Sr. Data/GenAI Engineer Location : Irving, TX (Hybrid) Contract * Project Mission : To lead the design and execution of the data ingestion and preparation pipeline, which forms the knowledge ...

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization ... Apply version control and collaborative development practices across Azure DevOps repos and ...

GenAI Engineer

Dallas, TX · On-site

$120 - $190/hr

Description Trinity Industries is searching for an GenAI Engineer to join our Service Analytics ... Apply version control and collaborative development practices across Azure DevOps repos and ...

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization ... Apply version control and collaborative development practices across Azure DevOps repos and ...

Sr GenAI + LangGraph Developer

Dallas, TX · On-site

$54 - $71.25/hr

Client is looking for - Hands on GenAI + LangGraph candidate assuming should be very good with GenAI Fundamentals, Prompt Engineering, LLM, Agentic AI, Agentic System Design, LangChain, LangGraph ...

Ltd. is seeking a GenAI Engineer to join their Apple Content Solutions Team, focusing on a project ... , DevOps, UX etc • Exceptionally good at documentation and explaining our core technical ...

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Genai Developer information

See Texas salary details

$15

$49

$76

How much do genai developer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for genai developer in Texas is $49.23, according to ZipRecruiter salary data. Most workers in this role earn between $37.64 and $60.24 per hour, depending on experience, location, and employer.

What is a GenAI developer?

GenAI Developers are professionals who design, build, and optimize applications using generative artificial intelligence technologies. They work with models such as GPT, DALL-E, or Stable Diffusion to create tools for generating text, images, code, and other content. These developers need strong programming skills, a solid understanding of machine learning, and experience working with AI frameworks and APIs. Their responsibilities often include training custom models, integrating AI into products, and ensuring ethical use of generative AI solutions.

What are some common challenges GenAI developers face when integrating generative AI models into existing products?

GenAI Developers often encounter challenges related to model deployment, scalability, and ensuring data privacy when integrating generative AI models into established products. Balancing the computational requirements of large AI models with real-time application demands can be complex, and optimizing inference speed without sacrificing model quality is a key consideration. Additionally, collaborating closely with product managers, data scientists, and DevOps teams is essential to align AI outputs with business goals and maintain robust, ethical AI practices.

What are the key skills and qualifications needed to thrive as a GenAI developer, and why are they important?

To thrive as a GenAI Developer, you need a strong background in machine learning, deep learning frameworks (like TensorFlow or PyTorch), and programming languages such as Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (AWS, Azure, GCP), APIs, and prompt engineering, as well as certifications in AI or ML, are typically used in this role. Creativity, problem-solving, and effective communication set outstanding GenAI Developers apart. These skills are crucial for building, optimizing, and deploying powerful generative AI models that address complex business challenges.

What is the difference between Genai Developer vs Machine Learning Engineer?

AspectGenai DeveloperMachine Learning Engineer
Required CredentialsBachelor's in CS, AI, or related; experience with NLP and AI frameworksBachelor's or higher in CS, Data Science, or related; strong programming and ML skills
Work EnvironmentDevelops AI models focused on generative AI, often in AI startups or tech companiesBuilds and deploys ML models across various industries, including tech, finance, healthcare
Employer & Industry UsagePrimarily in AI-focused companies, research labs, and tech firmsWidely used across industries like tech, finance, healthcare, and retail

While both roles involve AI and machine learning, Genai Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a broader range of ML models for various applications. The roles overlap in skills and tools but differ in focus and industry applications.

How to become a GenAI developer?

To become a GenAI developer, you should gain expertise in machine learning, deep learning, and natural language processing, with a focus on generative models like GPT. Proficiency in programming languages such as Python, experience with frameworks like TensorFlow or PyTorch, and understanding of large language models are essential. Building a portfolio of projects and staying updated with AI research can also enhance your qualifications.

Is a Genai Developer a promising career?

A Genai Developer is a growing role focused on developing and implementing generative AI models, which are increasingly used across industries. The field requires skills in machine learning, programming, and AI frameworks, and offers strong job growth prospects due to expanding AI adoption. Continuous learning and staying updated with new tools are important for success in this career.

What cities in Texas are hiring for Genai Developer jobs?

Cities in Texas with the most Genai Developer job openings:

Infographic showing various Genai Developer job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

Python / GenAI Developer

Cliff Services Inc

Dallas, TX • On-site

$50 - $68.75/hr

Other

Posted 17 days ago


Job description

Job Title: Python / GenAI Developer (Junior & Senior Roles Available)
Location: Dallas, TX
Position Overview
We are seeking Junior and Senior Python Developers specializing in Generative AI and LangGraph to join our team in Dallas. You will build and scale AI-driven applications, agentic workflows, and intelligent automation pipelines for a major banking client.
Key Responsibilities For Senior Candidates:
  • Agentic Frameworks: Architect and build multi-agent orchestration systems using LangGraph and LangChain.
  • Pipeline Engineering: Design complex Python-based backend architectures to process sensitive banking data safely.
  • LLM Integration: Fine-tune, evaluate, and deploy Generative AI models for automated financial analysis and compliance.
  • Technical Mentorship: Guide junior team members through advanced coding standards and code reviews.
For Junior Candidates:
  • Code Development: Write clean, maintainable Python scripts to support AI application development.
  • Workflow Support: Implement stateful graphs and conversational flows using LangGraph under senior guidance.
  • Data Ingestion: Assist in building data pipelines, prompt engineering, and parsing banking documents.
  • Testing: Write unit tests to validate the accuracy and safety of AI model outputs.
Required Skills & Qualifications
  • Core Language: Strong proficiency in Python development and data structures.
  • GenAI Toolkit: Hands-on experience with LLMs, prompt engineering, and RAG frameworks.
  • Orchestration: Experience building complex, cyclical graph workflows using LangGraph.
  • Database Skills: Experience with relational SQL databases and vector databases (e.g., Pinecone, Chroma).
  • Industry Domain: Understanding of financial security practices and data handling is highly preferred.