Code Annotation Engineer at Odixcity Consulting

Job Summary

• We are seeking for an AI prompt Engineer who will design, test, and refine text or image inputs for generative AI models to produce accurate, safe, and context-aware outputs.
• A person who will bridge human intent with machine intelligence by optimizing prompt structures to improve AI relevance, reduce bias, and ensure high-quality, efficient AI performance.

Key Responsibilities

• Create and refine prompts for Large Language Models (LLMs) to maximize, accuracy, and creativity.
• Analyze AI outputs to identify limitations, reduce "hallucinations," and improve consistency.
• Develop and manage a repository of effective prompt templates for team-wide use.
• Work with developers, product managers, and data scientists to align AI behaviors with business needs.
• Help refine models to adopt specific brand voices or specialized, domain-specific knowledge.
• Develop prompt libraries, documentation, and best practices
• Collaborate with product, marketing, engineering, and data teams.

Requirements

• Degrees in Computer Science, Linguistics, Cognitive Psychology, or Data Science are highly valued, though not always mandatory.
• 5 years proven experience working with generative AI tools (e.g., ChatGPT, Gemini, Claude, Midjourney)
• Certificates in AI, NLP, or specific prompt engineering courses can strengthen a resume
• A deep understanding of how LLMs, such as GPT-4, Claude, and Gemini, work is essential. This includes tokenization, context windows, and parameters like "temperature".
• Proficiency in Python is often required for scripting, automation, and interacting with AI APIs. Familiarity with libraries like TensorFlow or PyTorch is beneficial.
• The ability to analyze AI outputs for accuracy, bias, and relevance to refine prompts is necessary.
• Excellent technical documentation and communication skills.