LLM Engineer
Summary
An early-career-friendly LLM Automation Engineer role in Houston focused on using AI tools and prompt engineering to analyze unstructured documents, build AI automation workflows for reporting, and validate AI-generated outputs. Core stack: Python, Hugging Face, LangChain, RAG, and AWS.
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