AI Workflow Architect & Prompt Engineer

Ethereum Technologies LLC; Austin (TX); Presencial; USD 120.000 - 200.000; Tempo integral

Resumo da vaga

Ethereum Technologies is seeking an experienced AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using LLMs, agents, and orchestration frameworks. You will translate business requirements into structured, multi-step AI workflows while ensuring accuracy, scalability, and reliability.

Responsibilities include building reusable prompt libraries, designing agent interactions, and implementing memory management and RAG strategies.

Qualificações

• Hands-on experience designing Agentic AI and LLM workflows.
• Strong prompt engineering and context engineering skills.
• Experience with RAG and human-in-the-loop workflows.
• Proficient in Python, APIs, JSON and data integration.
• Knowledge of multi-agent architectures and orchestration frameworks.
• Ability to translate business problems into technical AI solutions.
• Familiar with AI governance, risk management and KPI measurement.

Responsabilidades

• Design and implement multi-step AI workflows using LLMs and agents.
• Translate business requirements into scalable AI-driven solutions.
• Build reusable prompt libraries and workflow templates.
• Design agent interactions, tool calling, and execution logic.
• Apply prompt engineering, context management, and memory strategies.
• Analyze workflow logs to identify performance issues.
• Troubleshoot prompts, API integrations, data pipelines, and agent runs.
• Evaluate AI workflow performance using KPIs and metrics.
• Develop Python scripts to test and monitor AI workflows.

Conhecimentos

Agentic AI workflows

Prompt engineering

Python programming

API & data integration

Multi-agent architectures

AI governance & metrics

Memory management

Ferramentas

GitHub Copilot

Claude Code

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Descrição da vaga

Ethereum Technologies is seeking an experienced AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using LLMs, agents, and orchestration frameworks. You will translate business requirements into structured, multi-step AI workflows while ensuring accuracy, scalability, and reliability.

Responsibilities include building reusable prompt libraries, designing agent interactions, and implementing memory management and RAG strategies.