AI / LLM Engineer Skills Assessment
I assess and validate the technical knowledge and practical expertise of AI / LLM Engineers through a structured technical interview.
The assessment can cover Large Language Models, prompt engineering, embeddings, vector databases, RAG systems, agents and tool calling, LLM evaluation, hallucination mitigation, fine-tuning, model selection, API integration, and production AI architecture.
I also evaluate the candidate’s problem-solving approach, understanding of real-world AI limitations, ability to design reliable LLM-based solutions, and overall technical maturity.
Based on the assessment, I can provide a clear evaluation of strengths, knowledge gaps, and the candidate’s appropriate seniority level.