Prompt Engineer
Analyze business processes and conversation transcripts to design effective scripts and prompts for AI agents. Develop and implement methodologies to assess and refine the performance of AI agents.
16 Prompt Engineer jobs available for remote work from home. Apply for positions such as Prompt Engineer, PROMPT ENGINEER, Prompt Engineer and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Analyze business processes and conversation transcripts to design effective scripts and prompts for AI agents. Develop and implement methodologies to assess and refine the performance of AI agents.
Design, test, and optimize prompts for LLM-based applications to improve output quality and reliability. Collaborate with engineering teams to integrate these prompts and document experimental results.
The Prompt Engineer will design, optimize, and benchmark client-specific prompts to enhance AI performance within the agentic framework. They will collaborate with Customer Success and Data Science teams to develop effective AI solutions and maintain clear documentation.
The role focuses on prototyping, testing, and validating AI solutions and prompt strategies to improve operational efficiency. It involves collaborating with cross-functional teams to build proofs of concept and providing training on AI capabilities and limitations.
Conduct client discovery sessions to translate business objectives into functional Voice AI conversation flows and system prompts. Build, configure, and optimize voice agents while managing integrations and performing rigorous testing for production deployment.
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The Senior Conversational AI & Prompt Engineer will design, optimize, and maintain conversational experiences across voice and chat-based AI systems to ensure clinically aligned patient interactions. They will collaborate with cross-functional teams to refine AI performance, analyze transcripts, and implement technical solutions using orchestration frameworks.
You will design, build, and test prompts and LLM-driven components to power client solutions and internal accelerators. Additionally, you will implement evaluation harnesses and guardrails to ensure the quality and stability of AI model outputs.
The role involves designing, developing, and optimizing prompts for generative AI models while integrating these solutions into existing workflows. You will also collaborate with multidisciplinary teams to define AI use cases and ensure high-quality, accurate model outputs.
Design and maintain prompts for complex multi-agent systems while building robust evaluation layers to ensure reliability. You will debug production behavior, instrument observability, and partner across teams to optimize agent performance based on real-world data.
Translate a director's vision into high-quality AI-generated visuals for a professional feature film. Collaborate with creative teams to ensure visual consistency, continuity, and cinematic quality across scenes.
Design and maintain advanced prompts and reusable frameworks using strategies like chain-of-thought and ReAct. Orchestrate AI agents integrated with RAG, vector engines, and APIs while ensuring Responsible AI policies are applied.
You will own the system prompts, persona, and evaluation frameworks for the YOlanda AI concierge to ensure accurate and safe user interactions. This involves writing training data, managing the model's knowledge boundaries, and shipping code to production using LangChain and LangGraph.
The candidate will leverage AI tools and prompt engineering to accelerate software development, including coding, testing, and debugging. They are responsible for validating AI-generated outputs to ensure they meet enterprise architecture, security, and quality standards.
Gather and document business requirements for AI-driven initiatives and enterprise operations. Collaborate with cross-functional teams to define workflows, manage AI agent lifecycles, and ensure adherence to AI governance and privacy standards.
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