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Apprentice Generative Ai Engineer Jobs in Hurst, TX

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

We are seeking a skilled Generative AI Engineer to design, develop, and deploy advanced AI solutions that solve complex business challenges. The ideal candidate will have strong expertise in Python ...

Generative AI Engineer

Fort Worth, TX · On-site

$120K - $165K/yr

Generative AI Engineer Location: Remote (U.S.) Salary Range: $120k to $165k About the Role We are seeking a highly skilled Generative AI Engineer to lead the end-to-end delivery of production-grade ...

Generative AI Engineer

Lewisville, TX · On-site

$140 - $190/hr

Position Description We are seeking a Generative AI Engineer to own the hands-on technical delivery of production GenAI systems - from architecture and implementation through deployment, operations ...

Sr. Generative AI Developer

Dallas, TX · On-site

$120K - $161K/yr

Sr. Generative AI Developer Location: Dallas TX/ Tampa FL/ New Jersey - Hybrid Fulltime/FTE Salary: Market Client: Bank Role Overview We are seeking an experienced Senior Generative AI Developer to ...

Senior Generative AI Developer

Irving, TX · On-site

$116K - $157K/yr

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

RAG,Python, Java, Agentic AI, LLMs, RAG, LangChain/LangGraph, Generative AI, AWS. We are seeking an experienced AI Engineer with strong expertise in Python, Java, Agentic AI, Large Language Models ...

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 ...

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Apprentice Generative Ai Engineer information

See Hurst, TX salary details

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How much do apprentice generative ai engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for apprentice generative ai engineer in Hurst, TX is $16.36, according to ZipRecruiter salary data. Most workers in this role earn between $13.03 and $19.47 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

What cities near Hurst, TX are hiring for Apprentice Generative Ai Engineer jobs? Cities near Hurst, TX with the most Apprentice Generative Ai Engineer job openings:
Infographic showing various Apprentice Generative Ai Engineer job openings in Hurst, TX as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $34,026 per year, or $16.4 per hour.

Generative AI Engineer

Lares IT Solutions Inc

Plano, TX • On-site

Other

Posted 19 days ago


Job description

Generative AI Developer

Plano, TX

We are seeking a seasoned Generative AI Developer with expertise in AWS Bedrock and enterprise-grade application development. This role combines advanced AI/ML engineering with the ability to design, build, and deliver scalable, intelligent systems. The ideal candidate will have a proven track record in deploying generative AI solutions, architecting microservices, and integrating AI/LLM capabilities into modern enterprise applications.

Key Responsibilities

  • AI System Design & Implementation: Architect and develop scalable AI agent frameworks tailored to business needs, leveraging foundational models and AWS Bedrock.
  • Bedrock Model Expertise: Fine-tune and deploy Bedrock models (LLMs, multimodal models) for use cases such as vector-based retrieval and Retrieval-Augmented Generation (RAG).
  • Enterprise Application Development: Design, develop, and deliver multi-tier, enterprise-grade applications with a strong focus on microservices, REST APIs, and Kafka-based integrations.
  • Optimization & Reliability: Enhance model performance while balancing computational cost, ensuring deployed AI systems are robust, accurate, and maintainable.
  • Innovation & Integration: Actively integrate AI/ML capabilities and LLM-based tooling into modern software systems, staying current on emerging technologies.
  • Collaboration: Work closely with data scientists, engineers, product managers, and stakeholders to translate AI research into production-ready systems.
  • Leadership & Best Practices: Mentor teams, drive engineering excellence through TDD, BDD, and DoD, and ensure delivery of high-quality software solutions.
  • Data & Infrastructure: Manage large datasets, model lifecycle tools (MLflow, Kubeflow), and containerization (Docker, Kubernetes) for reproducible, scalable environments.

Required Skills & Experience

Technical Skills

  • AI/ML & LLM: AWS Bedrock, OpenAI GPT-4 API, LangChain, Hugging Face Transformers, RAG pipelines, LLM orchestration, prompt engineering, AI-assisted coding tools (GitHub Copilot)
  • Languages: Python (scripting & AI automation), Java (working knowledge)
  • Frameworks: Spring Boot, Spring AI, Microservices, Apache Camel, Fuse ESB
  • Messaging: Apache Kafka, ActiveMQ Artemis, event-driven architecture
  • Frontend: React, HTML5, CSS3, AJAX, jQuery
  • Cloud & DevOps: AWS (EC2, S3, Lambda, SageMaker), Docker, Kubernetes, Jenkins, Ansible, Git
  • Databases: Oracle (9i/10g/12c), vector databases (Pinecone, others)
  • Testing & Tools: Cucumber (BDD), SonarQube, Postman, JIRA, Maven, Gradle, Apache Spark
  • Operating Systems: Windows, UNIX, IBM AIX

Experience: Several years of experience in AI/ML engineering, with cloud-native, generative AI integrations and familiarity with enterprise application development practices.