AI Workflow Designer

Quantum Technologies LLC; Austin (TX); Presencial; USD 120.000 - 180.000; Tempo integral

Resumo da vaga

Quantum Technologies. LLC in Austin, TX is seeking an experienced AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using LLMs, AI agents, and orchestration frameworks.

You will translate complex business requirements into structured, scalable AI solutions and build reusable prompt libraries and orchestration patterns. You will design agent interactions, tool calling, and execution logic, implementing prompt engineering, memory management, and

Qualificações

• Hands-on experience designing and implementing Agentic AI and LLM workflows.
• Strong expertise in prompt engineering and context engineering.
• Experience with RAG, human-in-the-loop workflows, tool calling, and memory management.
• Strong Python programming, APIs, JSON, and data integration skills.
• Knowledge of multi-agent architectures and orchestration frameworks.
• Experience troubleshooting and evaluating LLM outputs and agent behavior.
• Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor.
• Ability to translate complex business problems into technical AI solutions.
• Strong understanding of AI governance, risk management, and performance metrics.

Responsabilidades

• Design and develop multi-step AI workflows using LLMs and agentic AI technologies.
• Translate business requirements into scalable AI-driven solutions.
• Build and maintain reusable prompt libraries, workflow templates, and orchestration patterns.
• Design agent interactions, tool calling, workflow handoffs, and execution logic.
• Implement prompt engineering, context management, RAG, and memory management strategies.
• Analyze AI workflow logs and outputs to identify performance issues and failures.
• Troubleshoot prompt design, API integrations, data pipelines, and agent execution.
• Evaluate AI workflow performance using KPIs and quantitative metrics.
• Develop Python scripts and automation utilities to support AI workflow testing and monitoring.
• Support AI governance, quality assurance, and responsible AI practices.

Conhecimentos

Agentic AI

Prompt engineering

Context engineering

RAG

Memory management

Python

APIs / JSON

Multi-agent architectures

LLM workflows

AI governance

GitHub Copilot

Claude Code

Cursor

Ferramentas

GitHub Copilot

Claude Code

Cursor

Descrição da vaga

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization:US Citizen, Green Card, H-1B, OPT-EAD, CPT, H4-EAD, Other

Job Description:

We are seeking an experienced AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using Large Language Models (LLMs), AI agents, and orchestration frameworks. The ideal consultant will have hands-on experience in workflow architecture, prompt engineering, AI implementation, and operational optimization. This individual will translate complex business requirements into structured, multi-step AI workflows while ensuring accuracy, scalability, and reliability.

Key Responsibilities:

• Design and develop multi-step AI workflows using LLMs and agentic AI technologies.
• Translate business requirements into scalable AI-driven solutions.
• Build and maintain reusable prompt libraries, workflow templates, and orchestration patterns.
• Design agent interactions, tool calling, workflow handoffs, and execution logic.
• Implement prompt engineering, context management, RAG, and memory management strategies.
• Analyze AI workflow logs and outputs to identify performance issues and failures.
• Troubleshoot prompt design, API integrations, data pipelines, and agent execution.
• Evaluate AI workflow performance using KPIs and quantitative metrics.
• Develop Python scripts and automation utilities to support AI workflow testing and monitoring.
• Support AI governance, quality assurance, and responsible AI practices.

Required Skills & Qualifications:

• Hands-on experience designing and implementing Agentic AI and LLM workflows.
• Strong expertise in prompt engineering and context engineering.
• Experience with RAG, human-in-the-loop workflows, tool calling, and memory management.
• Strong Python programming, APIs, JSON, and data integration skills.
• Knowledge of multi-agent architectures and orchestration frameworks.
• Experience troubleshooting and evaluating LLM outputs and agent behavior.
• Experience with AI-assisted development tools such as GitHub Copilot, Claude Code, or Cursor.
• Ability to translate complex business problems into technical AI solutions.
• Strong understanding of AI governance, risk management, and performance metrics.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.