Job Details

Role Overview

Seeking an AI Prompt Engineer with experience designing, optimizing, and evaluating prompts, system instructions, and interaction workflows for LLM-powered applications. The role involves improving AI output quality, safety, reasoning, and user experience across enterprise AI products and generative AI solutions.

Responsibilities

• Design, test, and optimize prompts and system instructions for LLM-based applications and AI workflows.
• Build evaluation frameworks to measure prompt quality, response accuracy, safety, and consistency.
• Collaborate with AI engineers, product teams, and developers to improve model outputs and user interactions.
• Develop prompt libraries, reusable templates, and prompt versioning strategies.
• Test prompts across multiple model providers, APIs, and fine-tuned LLM variants.
• Support RAG workflows, structured outputs, agentic AI interactions, and conversational AI systems.
• Analyze model behavior, hallucinations, edge cases, and response reliability issues.
• Document prompt engineering standards, experimentation results, and best practices.
• Stay updated with advancements in LLMs, generative AI tooling, evaluation methods, and AI safety practices.

Required Skills

Preferred Skills

• Experience with chain-of-thought prompting, structured output generation, and agentic AI workflows.
• Understanding of AI evaluation metrics, red-teaming, hallucination reduction, and responsible AI practices.
• Familiarity with LangChain, LangGraph, vector databases, and LLM orchestration frameworks.
• Experience working with OpenAI, Claude, Gemini, or open-source LLM ecosystems.
• Strong analytical thinking, experimentation, and communication skills.
• Education: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Linguistics, or a related field. Hands-on experience building and evaluating AI/LLM applications is highly preferred.