Prompt Engineer

Design, test, and systematically optimize prompts for LLM-powered applications and AI agent pipelines.

Create and continuously refine system prompts, guardrails, evaluation prompts, and multi-agent interaction frameworks.

Collaborate closely with AI backend engineers to seamlessly integrate prompts into production APIs and agent workflows.

Develop comprehensive prompt evaluation datasets, scoring methodologies, and automated testing pipelines to ensure consistent quality.

Experiment with Retrieval-Augmented Generation (RAG) pipelines, memory systems, tool-calling mechanisms, and agent orchestration strategies.

Analyze agent failures and iterate on prompt designs using structured evaluation frameworks and real-world production feedback.

Partner with product and business stakeholders to translate functional requirements into precise, well-defined AI behaviors.

Document prompting strategies, established best practices, and maintain a library of reusable prompt templates for organizational use.

Skills & Memory Required Qualifications 2+ years of hands on experience working with Large Language Models (LLMs) and Generative AI in production environments.

Strong command of prompt engineering techniques, including reasoning, information extraction, summarization, and agentic workflow design.

Proven experience with synthetic dataset generation and AI evaluation methodologies.

Familiarity with Model Context Protocols (MCP), AI gateways, and model routing strategies.

Solid understanding of AI safety principles, prompt injection risks, and secure agent design practices.