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Genai Developer Jobs in Texas (NOW HIRING)

LTM

GenAI Developer

Irving, TX · On-site

GenAI Developer Job Location: Irving, Texas 1. Engineering & Production-Grade Development (40%) * Hands-on Coding: Lead the development of production-ready systems with expert-level proficiency in ...

LTM

GenAI Developer

Irving, TX · On-site

Job Summary : LTM is a company specializing in advanced technology solutions, and they are seeking a GenAI Developer. The role involves leading the development of production-ready systems ...

Prophecy Technologies

AI / GenAI Engineer

Dallas, TX · On-site

Role: AI / GenAI Engineer Experience: 6+ Years Overall, including 1-2 Years Hands-on GenAI Overview We are seeking an innovative AI professional with proven experience delivering solutions using ...

Deloitte

Manager, GenAI Engineering

Fort Worth, TX

As a Principal GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Manager, GenAI Engineering

San Antonio, TX

As a Principal GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Manager, GenAI Engineering

Austin, TX

As a Principal GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Manager, GenAI Engineering

Houston, TX

As a Principal GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Manager, GenAI Engineering

Dallas, TX

As a Principal GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering ...

Deloitte

Senior GenAI Engineer

Dallas, TX

$103K - $142K/yr

As a Senior GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions ...

Deloitte

Senior GenAI Engineer

Houston, TX

$99K - $137K/yr

As a Senior GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions ...

Deloitte

Senior GenAI Engineer

Austin, TX

$103K - $142K/yr

As a Senior GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions ...

Stantec

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 ...

Deloitte

Senior GenAI Engineer

San Antonio, TX

$94K - $129K/yr

As a Senior GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions ...

Deloitte

Senior GenAI Engineer

Fort Worth, TX

$100K - $137K/yr

As a Senior GenAI Engineer, you will actively engage in your engineering craft, taking a hands-on approach to multiple high-visibility projects. Your expertise will be pivotal in delivering solutions ...

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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 Jun 28, 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 $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, specialized expertise, and may require relevant certifications or advanced degrees. Compensation at this level reflects significant experience and impact within the organization or industry.

What engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like AI or machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in competitive industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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 jobs pay $2000 a day?

High-paying jobs that can earn $2000 or more per day often include specialized roles such as senior software engineers, data scientists, AI developers, management consultants, and certain medical specialists. These positions typically require advanced skills, extensive experience, and often involve project-based or consulting work with high hourly or daily rates.

What are GenAI Developers?

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 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.

What is the salary of GenAI developer?

The salary of a GenAI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and skill set. Senior roles or those with expertise in machine learning frameworks and large language models may earn higher compensation. Salaries can also vary based on industry and company size.
What cities in Texas are hiring for Genai Developer jobs? Cities in Texas with the most Genai Developer job openings:
Genai Developer jobs near you
Infographic showing various Genai Developer job openings in Texas as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $102,393 per year, or $49.2 per hour.

GenAI Developer

LTM

Irving, TX • On-site

Other

Posted 10 days ago

Job description

Role description
Job Role: GenAI Developer
Job Location: Irving, Texas
Job Description:
1. Engineering & Production-Grade Development (40%)
  • Hands-on Coding: Lead the development of production-ready systems with expert-level proficiency in Python or PySpark.
  • Solution Engineering: Apply advanced data structures, algorithms, and software design patterns to solve real-world financial services challenges.
  • Scalability & Performance: Architect high-scale solutions with a big-picture approach, ensuring system latency and infrastructure costs are optimized to drive tangible business value.
  • Lifecycle Management: Own the transition from MVP to live solutions, managing change control and enterprise-level AI integration.
2. Advanced AI Implementation & R&D (40%)
  • Generative AI & RAG: Design and deploy sophisticated RAG pipelines. Orchestrate LLM-as-a-Service (e.g., GPT-4, Gemini, Vertex AI) alongside local SLMs (e.g., Llama 3, Mixtral).
  • Agentic Workflows: Build autonomous agents using frameworks such as LangGraph (preferred), CrewAI, or AutoGen to automate complex, multi-step business logic.
  • MLOps & Governance: Take full ownership of the model lifecycle, including fine-tuning LLMs/SLMs, monitoring model drift, ground truth validation, and ensuring compliance with Model Risk Management (MRM) standards.
  • UAT Validation: Drive User Acceptance Testing (UAT) focused on specific business outcomes and accuracy benchmarks.
3. Leadership & Solution Orchestration (20%)
  • Stakeholder Management: Navigate complex client ecosystems, acting as the primary technical liaison for both C-suite stakeholders and engineering teams.
  • Strategic Communication: Translate high-level business requirements into sustainable, high-value generative AI solutions.
  • CoE Liaison: Partner with the BFS AI CoE to bring cutting-edge R&D and incubated solutions, actively participating in multiple client AI solution demos and delivery assurance to global clients.
  • Team Mentorship: Lead and inspire a high-performing technical team, fostering a positive, solution-oriented mind and an initiative-taking culture.

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