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Genai Developer Jobs in Texas (NOW HIRING)

Keylent Inc

Python Developer with GenAI

Dallas, TX · On-site

$50 - $68.75/hr

Python Developer With GenAI Location: Atlanta/Plano/Dallas Long Term Job Requirement: 3-5 years of relevant work experience working with SOAP and REST APIs / microservices design. Pandas - data ...

Keylent Inc

Python Developer with GenAI

Plano, TX · On-site

$48.25 - $66.50/hr

Python Developer With GenAI Location: Atlanta/Plano/Dallas Long Term Job Requirement: 3-5 years of relevant work experience working with SOAP and REST APIs / microservices design. Pandas - data ...

Precision Technologies Corp

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 ...

TrinityRail

GenAI Engineer

Dallas, TX · On-site

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 ...

Trinity Industries

GenAI Engineer

Dallas, TX · On-site

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 ...

Trinity Logistics Group

GenAI Engineer

Dallas, TX

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 ...

Vkore Solutions

GenAI Engineer-W2

Austin, TX · On-site

We are looking for a GenAI Ops Engineer to train, fine-tune, and deploy Generative AI models (LLMs, Diffusion Models, Transformers, etc.). You will optimize model performance, manage training ...

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$15

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$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.
AI Engineer GenAI Engineer

AI Engineer GenAI Engineer

Svam International, Inc.

Dallas, TX • On-site

Other

Posted 9 days ago

Job description

Hi Sir,

Please find the attached resume of for the AI Engineer GenAI role /Capco/ Freddie Mac.

AI Engineer GenAI

Location: Charlotte, NC or Dallas, TX

Onsite Position

Responsibilities:

  • Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG.
  • Develop autonomous AI agents using modern agentic frameworks.
  • Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources.
  • Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates.
  • Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated testing, and monitoring of latency, cost, and response quality.
  • Develop systems leveraging embeddings at scale, knowledge graphs, and ontology extraction.
  • Collaborate across engineering teams, mentor developers, and help drive innovation in GraphRAG and agentic AI architectures.

Technical Skills

  • Degree in Computer Science, AI/ML, or related field.
  • 5+ years of AI/ML-focused software engineering experience.
  • Production experience building LLM-based or agentic AI systems.
  • Strong expertise in Python and modern AI frameworks.
  • Experience with embeddings, knowledge graphs, ontology extraction, and advanced RAG/GraphRAG implementations.
  • Full-stack development experience (Python back end + modern front end).
  • Experience deploying AI workloads to AWS, Azure, or Google Cloud Platform.
  • Familiarity with LLMOps/ MLOps tooling and model evaluation frameworks.
  • Strong problem-solving, communication, and collaboration skills.

Submission format for all resumes :

Is the candidate ready to take the Drug test :

Rate : $/hr C2C

Time slots available from Mon Fri :

Submitted on Green house :

LinkedIn URL(Must Have) :

Any vacations in the coming months ?

Any stampings to be done in the coming months ?

After 6 Months Salary Expectation:

Must have Skills with number of years experience :

Employer of the candidate (W2) :

Candidate Name:
Candidate Email:

Candidate Contact:

Overview:

Legally Authorized to work In USA :

Require Sponsorship : Location of the Candidate: Ready to Relocate: Reason looking for a Change: Project End Date:

Regards,

Kapil Thapa
Sr. Manager US IT Recruitment

SVAM International | 233 East Shore Road | Suite # 201,Great Neck, NY 11023

Cell: ext 108| Fax: | Email: |

CMMI Level 5 | ISO 9001:2008 |ISO 27001:2013 Company | LISA Award winner

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