Prompt AI Engineer

Responsibilities

• Design, test, and refine prompts for diverse AI applications/products, ensuring accuracy, relevance, and engagement.
• Collaborate with product team, data scientists, tech teams to align prompts with product features/ requirements and user needs.
• Analyze AI-generated responses to improve model behavior, consistency, and performance.
• Take ownership of Prompt Management: Continuous refinement, storage, versioning, conformity across various environments of prompts.
• Conduct A/B testing to evaluate and enhance prompt effectiveness and response quality.
• Develop and document best practices for scalable prompt engineering across different projects/products.
• Optimize prompts working closely with tech teams to improve system performance.
• Stay informed on advancements in Gen AI space, share developments and best practices with the extended team.

Qualifications

• 2-4 years of hand-on experience building solution in Machine learning, NLP, AI applications, or related fields.
• Expertise in prompt engineering for large language models (LLMs) such as OpenAI’s GPT, Google’s Gemini, or Claude.
• Strong analytical and problem-solving abilities to optimize AI responses.
• Excellent time management skills to juggle multiple competing priorities.
• Strong critical thinking and attention to detail.
• Ability to work collaboratively with cross-functional teams.

Nice to Have

• Experience with AI frameworks like Retrieval-Augmented Generation (RAG), NL to SQL etc.
• Proficiency in Python
• Experience with AI model performance evaluation or AI annotations.
• Previous experience in AI-driven chatbot development or conversational AI platforms.

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