LLM Engineer
On-site · Aguascalientes, Aguascalientes, Mexico
Job Summary
Design, develop, and optimize LLM-based solutions focusing on retrieval-augmented generation (RAG) and intelligent search systems. Implement and enhance chunking and embedding strategies for text and image data, improve data indexing, retrieval, and consumption by AI systems, and develop prompt engineering, hybrid search, and re-ranking techniques. Build and validate AI guardrails to ensure safety, quality, and compliance; perform AI client testing and evaluation; collaborate with AI/ML teams to optimize models and system performance; contribute to scalable, high-performance AI retrieval architectures.
Required Qualifications
- AI & LLM Expertise – Strong understanding of LLMs, NLP concepts, and RAG architectures
- Prompt & Retrieval Optimization – Skilled in prompt engineering, embeddings, chunking strategies, and improving search relevance with hybrid techniques
- Data & Search Engineering Mindset – Ability to structure, enrich, and filter data using metadata strategies to enhance AI performance
- Quality & Safety Focus – Experience implementing AI guardrails, validation frameworks, and testing methodologies to ensure responsible AI usage
- Collaborative & Adaptive – Works effectively with cross-functional teams in dynamic environments, driving innovation and continuous improvement
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