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Generative Ai Engineer Jobs in Anna, TX (NOW HIRING)

AI Engineer Intern - AI Center of Excellence (CoE) Location: Plano, Texas, USA Internship Duration ... This role offers hands-on experience building enterprise-grade Generative AI solutions across ...

Drive the roadmap for Generative AI use cases , ensuring scalability and real-world impact. Collaboration with Teams * Partner with transformation, engineering, and business teams to tailor AI agents ...

Sr Agentic AI Engineer

Plano, TX · On-site

$117K - $155K/yr

Develop and execute Generative AI and Agentic AI roadmaps aligned with business and transformation objectives. * Continuously improve agent performance, reliability, accuracy, and scalability.

New

Experience with Generative AI Large Language Models (LLMs), including solution development and fine-tuning for domain-specific tasks. * Proficiency in at least one programming language such as Python ...

AI Engineer Experience 0-3 Years Employment Type Full-time Location Hybrid About the Role We are ... Stay updated with the latest advancements in Generative AI and Machine Learning. Required Skills

Generative AI: Practical experience with LLMs, prompt engineering, and/or RAG-based architectures. * Backend Development: Experience building APIs using FastAPI, Flask, or Node.js (TypeScript)

Generative AI Engineer with LangGraph experience Plano, TX- Fully Onsite from Day-1 Core Technical Skills: * Python Programming: Advanced proficiency in Python, including experience with asynchronous ...

AI Engineer

Plano, TX · On-site

$78/hr

AI Engineer Location: Plano, TX Duration: 6 Months + Extension Bill Rate: $78/hour Job Type: C2C ... Design and develop AI/ML and Generative AI applications using Python . * Build LLM-powered ...

AI Engineer

Addison, TX · On-site +1

$110K - $140K/yr

Develop generative AI solutions for text generation, summarization, audio-to-text transcription ... Expertise in prompt engineering including chain-of-thought, few-shot learning, and structured ...

AI Engineer II

Dallas, TX · On-site

$96K - $132K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

AI Engineer II

Dallas, TX · On-site

$96K - $132K/yr

Build and support generative AI and agentic solutions using modern AI engineering practices and frameworks. * Develop and maintain data pipelines, integrations, and reusable data products that enable ...

AI Engineering Associate Director

Plano, TX · On-site

$151.40 - $202.50/hr

... AI Engineer to design, build, test, and deploy artificial intelligence, machine learning, and generative AI solutions across industries. This role will work with solution architects, industry SMEs ...

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Generative Ai Engineer information

See Anna, TX salary details

$35.7K

$108.7K

$179.7K

How much do generative ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai engineer in Anna, TX is $108,717.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $142,200.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What cities near Anna, TX are hiring for Generative Ai Engineer jobs?

Cities near Anna, TX with the most Generative Ai Engineer job openings:

Infographic showing various Generative Ai Engineer job openings in Anna, TX as of August 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 64% Physical, 4% Hybrid, and 32% Remote job distribution, with an average salary of $108,717 per year, or $52.3 per hour.

AI Engineer ( AI Software Engineer

HMG America

Plano, TX • On-site

Other

Posted 4 days ago


Job description

HMG America LLC is the best Business Solutions focused Information Technology Company with IT consulting and services, software and web development, staff augmentation and other professional services. One of our direct clients is looking for AI Engineer AI Software Engineer in Plano, TX. Below is the detailed job description.

Job Title: AI Engineer AI Software Engineer

Location: Plano, TX

Job Summary

We are seeking an experienced AI Engineer / AI Software Engineer to develop and integrate AI-powered applications and enterprise software solutions. The ideal candidate will have strong hands-on experience with AI models, React.js, Java, and microservices.

This role is focused on AI Software Engineering and application development, rather than traditional Python/Data Science.

Key Responsibilities

  • Design and develop AI-powered applications and software solutions.
  • Integrate Generative AI/LLM models and AI APIs into enterprise applications.
  • Develop modern and scalable frontend applications using React.js.
  • Build and maintain Java/Spring Boot microservices and REST APIs.
  • Integrate AI models with frontend and backend services.
  • Work with LLMs, prompt engineering, RAG, and AI-powered automation.
  • Collaborate with architects, developers, and business stakeholders.
  • Troubleshoot, optimize, and enhance application performance and scalability.
  • Participate in Agile development, testing, deployment, and production support.

Required Skills

  • 5+ years of experience in Software Engineering / AI Engineering.
  • Hands-on experience with AI/ML models and Generative AI.
  • Strong React.js, JavaScript, and/or TypeScript experience.
  • Strong Java and Spring Boot experience.
  • Experience developing Java Microservices and REST APIs.
  • Experience integrating LLMs/AI models into applications.
  • Knowledge of RAG, prompt engineering, vector databases, or AI agents.
  • Experience with AWS, Azure, or Google Cloud Platform is preferred.
  • Strong software development and Agile experience.

Preferred Skills

  • OpenAI / Azure OpenAI / Claude / Gemini.
  • LangChain or LlamaIndex.
  • Vector databases such as Pinecone, Azure AI Search, or OpenSearch.
  • Docker/Kubernetes.
  • CI/CD and DevOps practices.
  • Enterprise AI application development.