Senior AI Workflow Architect & Prompt Engineer

Valiant Technologies LLC; Austin (TX); Presencial; USD 150.000 - 190.000; Tempo integral

Resumo da vaga

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

The role emphasizes prompt engineering, context management, RAG, and memory strategies, with hands-on Python scripting for testing and monitoring.

Qualificações

• Hands-on experience designing Agentic AI and LLM workflows.
• Strong prompt and context engineering expertise.
• Experience with RAG, human-in-the-loop workflows, and memory management.
• Proficient Python, APIs, JSON, and data integration.

Responsabilidades

• Design and develop multi-step AI workflows using LLMs and agents.
• Translate business requirements into scalable AI solutions.
• Build reusable prompt libraries, templates, and orchestration patterns.
• Design agent interactions and execution logic.
• Implement prompt engineering, context management, RAG, and memory strategies.
• Analyze workflow logs to identify issues and failures.
• Develop Python scripts to support testing and monitoring.
• Support AI governance and responsible AI practices.

Conhecimentos

Agentic AI

LLM workflows

Prompt engineering

Context engineering

Python programming

APIs/JSON

Data integration

Ferramentas

GitHub Copilot

Claude Code

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Descrição da vaga

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

The role emphasizes prompt engineering, context management, RAG, and memory strategies, with hands-on Python scripting for testing and monitoring.