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Apprentice Generative Ai Engineer Jobs in Texas (NOW HIRING)

Droisys

Generative AI Engineer

Dallas, TX · On-site

Generative AI EngineerIntroduction: The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt ...

MDAEdge

Generative AI Engineer

Austin, TX · On-site

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Tanisha Systems

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 ...

Programmers.io

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 ...

Black Box

AI Engineer Intern - USA

Plano, TX · On-site

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

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.

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Apprentice Generative Ai Engineer jobs near you
Generative AI Engineer

Generative AI Engineer

Droisys

Dallas, TX • On-site

Other

Posted 6 days ago

Job description

Generative AI EngineerIntroduction:

The Generative AI Engineer will be responsible for developing and implementing Generative AI solutions using various technologies such as LLMs, RAG, Prompt Engineering, AI Agents, LangChain/LangGraph, Semantic Kernel, and vector databases. The role will involve working on backend development, data engineering, API integration, database design, scalability, security, and performance optimization.

Responsibilities:
  • Build Generative AI solutions using technologies like LLMs, RAG, Prompt Engineering, and LangChain/LangGraph.
  • Develop AI Agents and Semantic Kernels for AI-driven enterprise automation solutions.
  • Work on database design, scalability, security, and performance optimization for AI applications.
  • Create REST APIs and Microservices for backend development using Python, Node.js, and Java.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Utilize MongoDB and Azure Data Services for data storage and management.
Requirements:Required Skills:
  • Strong experience in building Generative AI solutions.
  • Proficiency in technologies like LangChain, Generative Artificial Intelligence (AI), and Prompt Engineering.
  • Knowledge of MongoDB for data storage.
  • Experience in performance tuning and database design.
  • Understanding of semantics in AI applications.
Preferred Skills:
  • Experience with React, Angular, TypeScript, JavaScript, HTML5, and CSS3.
  • Familiarity with modern UI frameworks.
  • Expertise in Python, ETL, and Azure AI Search.
  • Backend development skills using Python, Node.js, and Java.

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