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AI Automation & Generative AI Engineer

Roles & Responsibilities

  • Strong with Python
  • Comfortable working with APIs
  • Experienced in turning AI tools into practical business solutions
  • Hands-on experience with AI applications and automation tools

Requirements:

  • Build and integrate AI-powered applications, workflows, and automation systems
  • Develop LLM-based tools, AI agents, chatbots, and internal productivity solutions
  • Integrate OpenAI, Anthropic, Gemini, or other generative AI APIs into business systems
  • Design AI automation solutions for operations, sales, customer support, recruiting, and productivity use cases

Job description

We are seeking an AI Automation & Generative AI Engineer to support a rapidly growing organization in the U.S.

This person will build AI-powered applications, workflow automations, LLM integrations, and business process automation solutions. The ideal candidate is hands-on, strong with Python, comfortable working with APIs, and experienced in turning AI tools into practical business solutions.

This is a strong fit for someone who has built AI applications, internal automation tools, RAG systems, chatbots, AI agents, or LLM-powered workflows.

Key Responsibilities

  • Build and integrate AI-powered applications, workflows, and automation systems

  • Develop LLM-based tools, AI agents, chatbots, and internal productivity solutions

  • Integrate OpenAI, Anthropic, Gemini, or other generative AI APIs into business systems

  • Design AI automation solutions for operations, sales, customer support, recruiting, and productivity use cases

  • Build and improve RAG systems, document search tools, and knowledge-based AI applications

  • Work with APIs, databases, cloud services, and third-party platforms

  • Optimize prompts, workflows, outputs, and AI interactions for accuracy and usability

  • Collaborate with engineering, product, and business teams to deliver scalable AI solutions

  • Troubleshoot and improve AI workflows, including handling edge cases, errors, and unreliable outputs

  • Help ensure AI solutions are practical, secure, and aligned with business needs

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