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

Winaxis

AI Engineer

Dallas, TX · On-site

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

Citi

Principal Generative AI Engineer, SVP

Irving, TX · On-site

Position Overview Citi is looking for a Principal Generative AI Engineer to lead the design, development, and deployment of intelligent operations and automation platforms within the AI Automation ...

Black Box

AI Intern - Dallas, TX

Plano, TX · On-site

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)

Droisys

Generative AI LangGraph experience

Plano, TX · On-site

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 ...

QUANTUM TECHNOLOGIES LLC

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 ...

Citi

Generative AI Senior Delivery Lead

Irving, TX · On-site

Generative AI Senior Delivery Lead (Hybrid) Job Overview We are seeking a results-driven Generative ... Build, mentor, and manage a high-performing team of AI engineers and specialists. Foster a culture ...

Select Minds LLC

Agentic AI Engineer

Dallas, TX · On-site

$120K - $140K/yr

... Generative AI. Required Qualifications * Bachelor's or Master's degree in Computer Science ... Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory ...

Confie

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 ...

McCarthy Holdings, Inc.

AI Engineer II

Dallas, TX

$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 ...

McCarthy Holdings, Inc.

AI Engineer II

Dallas, TX

$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 ...

NTT DATA, Inc.

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 ...

Citi

Junior Generative AI Application Developer

Irving, TX · Hybrid

$64K - $83K/yr

Engineer the future of global finance. At Citi, our Tech team doesn't just support finance-we are ... React or Angular, Apigee TypeScript, HTML5 Generative AI & AI Agents: Prompt Engineering, Workflow ...

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All JobsGenerative Ai Engineer JobsGenerative Ai Engineer Jobs in Prosper, TX

Generative Ai Engineer information

See Prosper, TX salary details

$34.8K

$106.1K

$175.4K

How much do generative ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for generative ai engineer in Prosper, TX is $106,107.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,000.00 and $138,700.00 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 are the most commonly searched types of Generative Ai Engineer jobs in Prosper, TX?

The most popular types of Generative Ai Engineer jobs in Prosper, TX are:

What are popular job titles related to Generative Ai Engineer jobs in Prosper, TX?

For Generative Ai Engineer jobs in Prosper, TX, the most frequently searched job titles are:

What job categories do people searching Generative Ai Engineer jobs in Prosper, TX look for?

The top searched job categories for Generative Ai Engineer jobs in Prosper, TX are:

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

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

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Prosper, TX as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $106,107 per year, or $51 per hour.

AI Engineer

Winaxis

Dallas, TX • On-site

Full-time

Posted 11 days ago

Job description

Position : AI EngineerExperience

0–3 Years

Employment Type

Full-time

Location

Hybrid

About the Role

We are looking for a passionate and enthusiastic AI Engineer to join our growing AI team. This role is ideal for fresh graduates and early-career professionals who are eager to build intelligent applications using Generative AI, Large Language Models (LLMs), and Machine Learning. You will work alongside experienced engineers to develop, test, and deploy AI-powered solutions that solve real business problems.

Key Responsibilities

  • Develop and maintain AI-powered applications using modern AI frameworks.

  • Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.).

  • Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents.

  • Write clean, efficient, and well-documented Python code.

  • Integrate AI models with web applications and REST APIs.

  • Perform prompt engineering and optimize AI model outputs.

  • Work with structured and unstructured data for AI applications.

  • Debug, test, and improve AI solutions based on performance metrics.

  • Collaborate with software engineers, product managers, and designers to deliver AI features.

  • Stay updated with the latest advancements in Generative AI and Machine Learning.

Required Skills

  • Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field.

  • 0–3 years of experience in AI, Machine Learning, or Software Development (internships and academic projects are welcome).

  • Strong programming skills in Python.

  • Basic understanding of Machine Learning concepts and NLP.

  • Familiarity with Generative AI and Large Language Models.

  • Knowledge of AI frameworks such as LangChain, LlamaIndex, or similar is a plus.

  • Understanding of REST APIs and JSON.

  • Basic knowledge of SQL and databases.

  • Familiarity with Git and version control.

  • Strong analytical, problem-solving, and communication skills.

  • Eagerness to learn and adapt to new AI technologies.

Preferred Skills

  • Hands-on experience with OpenAI, Gemini, Claude, or other LLM APIs.

  • Basic understanding of Retrieval-Augmented Generation (RAG).

  • Familiarity with vector databases such as Chroma, Pinecone, FAISS, or Weaviate.

  • Knowledge of FastAPI or Flask.

  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

  • Experience with Docker is an added advantage.

  • Personal AI projects, hackathons, internships, or GitHub contributions.

What We're Looking For

  • Passion for Artificial Intelligence and emerging technologies.

  • Strong curiosity and willingness to experiment with new tools.

  • Ability to work independently and as part of a collaborative team.

  • Good communication and documentation skills.

  • A growth mindset and eagerness to continuously learn.

What We Offer

  • Opportunity to work on cutting-edge AI and Generative AI projects.

  • Mentorship from experienced AI engineers.

  • Learning and certification support.

  • Career growth in a fast-paced AI environment.

  • Collaborative and innovation-driven workplace.

  • Competitive salary and benefits.

Experience: 0–3 Years (Freshers are encouraged to apply)
Department: Artificial Intelligence