Prompt Engineer

The Value Maximizer is seeking a highly creative and technically strong Prompt Engineer to design, optimize, and scale LLM-driven solutions. The role involves developing prompts for LLM-based applications, optimizing performance of various LLMs, and collaborating with AI engineers and product teams to deliver optimized solutions.

Responsibilities:

• Design, develop, and optimize prompts and prompt chains for LLM-based applications
• Work within Agentic POD architectures to enable seamless interaction between AI agents
• Optimize performance of LLMs such as Gemini, Claude, GitHub Copilot, and other foundation models
• Develop and implement prompt patterns (few-shot, chain-of-thought, ReAct, tool-augmented prompting)
• Build and enhance RAG (Retrieval-Augmented Generation) pipelines for accurate and context-aware responses
• Create reusable prompt templates and frameworks for enterprise-scale applications
• Improve engineering throughput by leveraging AI-assisted development workflows
• Evaluate and fine-tune prompts using LLM evaluation frameworks and metrics (accuracy, latency, cost)
• Collaborate with AI engineers, data scientists, and product teams to deliver optimized solutions
• Ensure responsible AI practices, bias mitigation, and prompt safety controls
• Continuously experiment with new prompting techniques and LLM capabilities