AI Engineer

Key Responsibilities

• Understand the business problem, POC objectives, and evaluation metrics.
• Profile and clean sample datasets for experimentation (lightweight data prep).
• Build and test simple pipelines for data ingestion, prompt construction, and output evaluation.
• Design experiments to test different model configurations, prompts, or retrieval strategies.
• Analyse Gen AI outputs for quality, accuracy, and alignment with requirements.
• Identify common failure modes (hallucination, bias, irrelevant answers, factual errors).
• Provide insights and recommendations to improve model performance in quick iterations.
• Support SMEs in defining ground truth benchmarks for evaluation.
• Collaborate with developers on integrating models into the POC workflow.