AI Workflow Designer

Robotic Process Automation LLC; Austin (TX); Presencial; USD 120.000 - 190.000; Tempo integral

Resumo da vaga

Robotic Technologies Automation in Austin seeks an experienced AI Workflow Designer & Prompt Architect to design, develop, and optimize AI-powered workflows using LLMs, AI agents, and orchestration frameworks. The role requires translating business requirements into scalable AI-driven solutions with robust testing and governance.

You will build reusable prompt libraries, define execution logic, and monitor performance using KPIs.

Qualificações

• Hands-on experience designing and implementing Agentic AI and LLM workflows.
• Strong prompt and context engineering expertise.
• Experience with RAG, human-in-the-loop workflows, tool calling, 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.
• Familiarity 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 workflows

Prompt engineering

Context engineering

RAG workflows

Human-in-the-Loop

Python programming

APIs & JSON

Data integration

Multi-agent architectures

Orchestration frameworks

LLM troubleshooting

GitHub Copilot

Claude Code

Cursor

Business problem translation

AI governance

Risk management

Performance metrics

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.