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Trainee Large Language Model Llm Jobs (NOW HIRING)

NLP (Natural Language Processing) Generative AI & Large Language Models (LLM) Python Skills Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business ...

Data Engineer

Cincinnati, OH

$109K - $132K/yr

RAG Type LLM Workflows: * Develop and maintain data pipelines specifically tailored for Retrieval-Augmented Generation (RAG) type Large Language Model (LLM) workflows. * Ensure efficient data ...

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Trainee Large Language Model Llm information

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How much do trainee large language model llm jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for trainee large language model llm in the United States is $21.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $24.28 per hour, depending on experience, location, and employer.

What is the difference between Trainee Large Language Model Llm vs Data Scientist?

AspectTrainee Large Language Model LlmData Scientist
Required CredentialsTypically pursuing or recent graduate in computer science, AI, or related fieldsBachelor's or master's in data science, statistics, computer science
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Industry UsageAI research, NLP projects, machine learning developmentData analysis, predictive modeling, decision support

While both roles involve working with data and algorithms, a Trainee Large Language Model Llm focuses on developing and training language models, often in research or AI labs. A Data Scientist applies statistical and analytical skills to interpret data and support business decisions. The roles differ mainly in their focus—AI model training versus data analysis—though they share foundational skills in programming and data handling.

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What cities are hiring for Trainee Large Language Model Llm jobs? Cities with the most Trainee Large Language Model Llm job openings:
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What states have the most Trainee Large Language Model Llm jobs? States with the most job openings for Trainee Large Language Model Llm jobs include:
What job categories do people searching Trainee Large Language Model Llm jobs look for? The top searched job categories for Trainee Large Language Model Llm jobs are:
Infographic showing various Trainee Large Language Model Llm job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution, with an average salary of $43,990 per year, or $21.1 per hour.

GenAI Engineer - Azure OpenAI & AWS Bedrock

Prophecy Technologies

Malvern, PA • On-site

$126K/yr

Full-time

Posted 25 days ago


Job description

Job Summary:
We are seeking a GenAI Engineer with hands-on experience in Azure OpenAI and AWS Bedrock to design, develop, and deploy scalable Generative AI solutions. The role focuses on building Retrieval-Augmented Generation (RAG) pipelines, integrating Large Language Models (LLMs) into enterprise applications, and ensuring performance, security, and cost efficiency in AI-driven systems.
Location:
Malvern, PA - Onsite
Key Responsibilities:
  • Design, develop, and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, chunking, and embedding generation.
  • Configure, manage, and optimize vector databases for semantic and hybrid search performance.
  • Securely integrate Large Language Model (LLM) APIs into enterprise applications and workflows.
  • Develop and manage prompt templates and context-handling strategies to ensure consistent and accurate LLM responses.
  • Implement monitoring and logging for LLM usage, performance, latency, and cost tracking.
  • Build reusable AI components, frameworks, and SDKs to enable AI integration across multiple business use cases.

Required Skills & Experience:
  • Strong hands-on experience with Azure OpenAI services.
  • Experience working with AWS Bedrock and related AWS AI services.
  • Proficiency in Python for AI/ML and backend development.
  • Experience designing and deploying RAG architectures.
  • Knowledge of vector databases and embedding-based search solutions.
  • Experience integrating LLM APIs into applications securely.

Competencies:
  • Strong analytical and problem-solving skills.
  • Ability to design scalable and reusable AI solutions.
  • Attention to performance, security, and cost optimization.
  • Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Skills:
  • Experience with hybrid cloud AI architectures (Azure + AWS).
  • Familiarity with MLOps, observability, and cost-governance practices for GenAI solutions.
  • Experience building AI SDKs or shared AI platforms.