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Genai Engineer Jobs in Texas (NOW HIRING)

Trinity Logistics Group

GenAI Engineer

Dallas, TX

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization, supporting rail optimization and shipper decisioning solutions. In this role, you will use Claude and ...

Purview Infotech

GenAI Engineer AWS Bedrock

Plano, TX · On-site

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 ...

Trinity Industries

GenAI Engineer

Dallas, TX · On-site

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization, supporting rail optimization and shipper decisioning solutions. In this role, you will use Claude and ...

TrinityRail

GenAI Engineer

Dallas, TX · On-site

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics organization, supporting rail optimization and shipper decisioning solutions. In this role, you will use Claude and ...

Veracity Software Pvt. Ltd.

GenAI Engineer

Austin, TX · On-site

Ltd. is seeking a GenAI Engineer to join their Apple Content Solutions Team, focusing on a project centered around Generative AI. The role requires a strong foundation in Java and Python, as well as ...

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 ...

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 ...

Quest Global

GenAI engineer

Houston, TX · On-site

$100K - $120K/yr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the ...

Quest Global

GenAI engineer

Houston, TX · On-site

With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a ...

Quest Global

GenAI engineer

Houston, TX · On-site

$100K - $120K/yr

Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the ...

State Farm

Lead GenAI Engineer (LLM)

Richardson, TX · Hybrid

$93K - $122K/yr

Design & Deploy AI/GenAI Solutions -- Architect and implement LLM-powered applications, agentic ... Engineer Data & Analytics Pipelines -- Build pipelines that feed AI/ML systems with clean, governed ...

Promantus, Inc

Gen AI Engineer

Plano, TX · On-site

GenAI Engineer Duration: Long Term Location: Plano, TX * Candidate must have 5+ years of hands-on experience in Software & Data Engineering and GenAI using LangGraph, LangChain, and Agentic design ...

dhanutek

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 ...

Cliff Services Inc

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 ...

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Genai Engineer information

What are some typical challenges a GenAI engineer faces when deploying AI models in production environments?

GenAI Engineers often encounter challenges such as ensuring model scalability, addressing bias in generated outputs, and maintaining performance consistency in real-world applications. Deploying generative AI models requires careful monitoring to prevent unexpected or inappropriate outputs, as well as efficient resource management to handle large-scale computations. Collaborating closely with data engineers, product managers, and ML operations teams is essential to streamline deployment pipelines and quickly resolve issues that arise in live environments.

What is a GenAI engineer?

A GenAI Engineer is a professional who specializes in designing, developing, and deploying generative artificial intelligence (AI) models and applications. This role involves working with advanced machine learning techniques, such as large language models and generative adversarial networks, to create systems that can generate text, images, code, or other content. GenAI Engineers collaborate with data scientists, software engineers, and product teams to integrate AI capabilities into products and services, ensuring ethical use and scalability. They also stay updated on the latest developments in AI research to continually improve model performance and effectiveness.

What is the difference between Genai Engineer vs Data Scientist?

AspectGenai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI/ML frameworksDegree in Data Science, Statistics, or related fields; strong programming skills
Work EnvironmentDevelops AI models, fine-tunes generative AI systems, collaborates with AI teamsAnalyzes data, builds predictive models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, research labs focusing on generative AIFinance, healthcare, marketing, and tech firms analyzing data for insights

While both roles require strong technical skills and a background in data or AI, Genai Engineers focus on developing and deploying generative AI models, whereas Data Scientists analyze data to extract insights and build predictive models. The roles often overlap but serve different primary functions within AI and data-driven organizations.

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

To thrive as a GenAI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a solid understanding of generative models like GANs and transformers. Familiarity with frameworks such as TensorFlow or PyTorch, and experience with cloud platforms and MLOps tools, are highly valuable; advanced degrees or certifications in AI or data science are often preferred. Strong problem-solving, creativity, and communication skills help GenAI Engineers design innovative solutions and effectively collaborate with multidisciplinary teams. These skills ensure the development of robust, scalable generative AI systems that address complex real-world challenges.
What are popular job titles related to Genai Engineer jobs in Texas? For Genai Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Genai Engineer jobs in Texas look for? The top searched job categories for Genai Engineer jobs in Texas are:
What cities in Texas are hiring for Genai Engineer jobs? Cities in Texas with the most Genai Engineer job openings:
Genai Engineer jobs near you
Infographic showing various Genai Engineer job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

GenAI Engineer

Trinity Logistics Group

Dallas, TX

Full-time

Re-posted 26 days ago

Job description

Trinity Industries is searching for an GenAI Engineer to join our Service Analytics  organization, supporting rail optimization and shipper decisioning solutions. In this role, you will use Claude and modern AI tooling to build data pipelines, accelerate data science work, and ship production AI capabilities on top of our Azure and Databricks platform.

You will sit at the intersection of data engineering and data science. You will be involved in building data pipelines, training and evaluating models, and building LLM-powered systems - but what amplifies this role beyond a standard DS/DE seat is your fluency with Claude as a development partner: Claude Code, custom Skills, sub-agents, hooks, and the Model Context Protocol (MCP). You will partner with data engineers, data scientists, analysts, and business stakeholders to turn telematics, maintenance, and operations data into decisions our customers and operators can act on.

Join our team today and be a part of Delivering Goods for the Good of All!

What you'll do:

  • Design, develop, and operate data pipelines on Databricks ( PySpark, SQL, Python)
  • Build and ship LLM applications and agents using the Claude API - document extraction, RAG over maintenance and tariff data, internal copilots, and workflow automation
  • Use Claude Code as a primary engineering tool: author and maintain Claude Code Skills (packaged slash-command workflows), sub-agents, hooks, and MCP integrations that let the team build pipelines and analytical assets faster
  • Partner with data scientists on model development - feature pipelines, evaluation harnesses, training runs, and the path from notebook to production

  • Process and optimize large-scale datasets, including IoT, telematics, and geospatial data, to support analytical and operational use cases

  • Establish and enforce engineering hygiene around AI work - prompt evaluation, cost governance (prompt caching, model routing), monitoring, and drift detection
  • Translate ambiguous business problems from rail, service, and operations stakeholders into shipped pipelines, models, or AI tools
  • Apply version control and collaborative development practices across Azure DevOps repos and pipelines to ensure code quality and deployment readiness
  • Identify and implement process improvements and automation to improve pipeline efficiency, reliability, and maintainability
  • Partner with management to prioritize data initiatives and align engineering solutions with organizational information needs
     

What you'll need:

The core test for this role is simple: can you manage pipelines and extract data from Databricks, and can you use Claude as a real engineering partner? If yes, you can do this job.

  • Bachelor's Degree Computer Science, Information Management, or related field required; Masters preferred
  • 8+ years in data engineering including prior experience in data transformation
  • Databricks: hands-on experience building, running, and debugging data pipelines using medallion architecture (bronze / silver / gold). Comfortable extracting data, writing PySpark, SQL, and Python, and managing jobs end to end
  • IDE fluency: daily driver in VS Code, Cursor, JetBrains, or equivalent - comfortable in repos, terminals, and modern dev workflows
  • Claude Code: hands-on experience with the Claude Code architecture - Skills, sub-agents, hooks, MCP servers, and settings - and how to compose them into reliable engineering workflows. Bring examples of what you have built
  • Claude API (or equivalent): production experience with prompt design, tool use, structured output, and evaluation 
  • Applied data science: comfortable with the model lifecycle - feature engineering, evaluation, and the path from notebook to production (You do not need to be a research scientist)
  • Team engineering hygiene: Git, code review, CI, and Azure DevOps repos and pipelines
  • Communication: able to explain a model, a pipeline, or a trade-off to a non-technical stakeholder without losing them

THE FOLLOWING MUST ATTACHED TO YOUR APPLICATION:

Submit your resume along with a link to a personal GitHub repository (or public gist) showcasing your Claude Code architecture - Skills, sub-agents, hooks, MCP servers, settings, or any combination you have built. A short README explaining what each piece does and why you built it is more valuable than volume. If the repo is private, a redacted tree, settings.json, and one or two example Skill files are sufficient.

Candidates who include a working Claude Code repo with their application will be prioritized for the technical round.

Apply