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LLM Engineer

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Onsite

LLM Engineer

Diablo Convoy

LLM Engineer

Skills

Data MiningPythonTesting & QAData AnalysisMachine LearningAIAWS

8 months ago

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Important information


Contract type:

Permanent

Salary:

$120,000 – $130,000 / year

Location:

Houston, TX, USA

Work mode:

Onsite

Published on:

5 October 2026

What they need


Overview:

We are seeking a detail-oriented LLM Automation Engineer to support AI-driven data analysis, document processing, automation workflows, and reporting initiatives. This role focuses on using artificial intelligence tools, prompt engineering techniques, and structured workflows to analyze large volumes of unstructured data and produce accurate, actionable outputs.

This position is ideal for candidates early in their careers with hands-on experience using AI tools and a strong interest in automation, analytics, and AI-assisted reporting.

Key Responsibilities:

  • Use AI tools and large language models (LLMs) to summarize, classify, and analyze unstructured documents
  • Apply prompt engineering techniques to generate consistent, repeatable AI outputs
  • Assist in building and maintaining AI automation workflows for reporting and analysis
  • Review, validate, and refine AI-generated content to ensure accuracy and data integrity
  • Support creation of AI-generated visual content, diagrams, and concept imagery
  • Assist with AI-supported floor plan, layout, or spatial analysis projects
  • Collaborate with cross-functional teams to support AI-powered reporting needs
  • Document workflows, prompts, and processes for repeatable use and continuous improvement

Required Qualifications (Must-Have):

  • Foundational knowledge of artificial intelligence, machine learning concepts, and AI tools
  • Hands-on experience using AI for document analysis, text summarization, and data extraction
  • Basic understanding of prompt engineering and structured prompting techniques
  • Strong written communication, analytical skills, and attention to detail
  • Ability to review AI outputs for quality assurance and make necessary adjustments
  • Strong organizational skills and ability to follow defined workflows
  • Technical/MLTools: Python, Hugging Face, Langchain, RAG, AWS
  • PowerPoint presentation skills

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