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Powerfront · 13 hours ago

Ai Prompt Engineer

United States

Full-time

Remote

Mid Level

Powerfront is a leading provider of customer engagement technology and solutions. They are seeking a highly motivated Ai Prompt Engineer to design and maintain automated AI workflows, optimize AI model prompts, and analyze model performance to enhance customer engagement solutions.

Artificial Intelligence (AI)E-CommerceFashionInternetInternet of ThingsRetail

Responsibilities

Design, build, and maintain automated AI workflows using Activepieces (or similar platforms like Make, Zapier, or n8n) to bridge AI models with business applications

Design, test, and refine prompts for AI models to optimize output quality, moving beyond simple instruction to complex, multi-step chain-of-thought logic

Implement and manage LLM observability using tools like Langfuse to monitor traces, evaluate cost/latency, and debug production issues

Analyze AI model behavior and performance, using data-driven insights to improve accuracy and effectiveness

Conduct A/B testing on prompt variations and workflow logic to maximize output quality and operational efficiency

Create structured documentation and guidelines for best practices in both automation logic and prompt engineering

Stay updated on advancements in AI language models and integration ecosystems to ensure the company uses the most efficient tools available

Qualification

ActivepiecesLangfusePythonAI language modelsPrompt engineeringAPIsAutomation logicData-driven insightsCollaboration

Required

Proven experience building complex automations using Activepieces, Zapier, Make, or n8n. You should understand how to handle webhooks, APIs, and conditional logic

Hands-on experience with Langfuse (or similar tools like LangSmith or Helicone) for tracking, monitoring, and evaluating LLM application performance

Deep experience in crafting and fine-tuning prompts, including few-shot prompting, retrieval-augmented generation (RAG) contexts, and structured output formatting

Strong understanding of AI language models (e.g., GPT-4, Llama 3, Claude 3.5) and how they integrate into broader software stacks

Proficiency in Python and familiarity with AI/ML frameworks or API-first development

Ability to interpret model outputs and use observability data to systematically optimize performance rather than relying on 'trial and error.'

Bachelor's or higher degree in Computer Science, AI, or a related technical field (or equivalent practical experience)