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AI Engineer / AI Automation Specialist

Pavago · Remote · India · Remote

Posted Aug 27, 2026

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AI Engineer / AI Automation Specialist – LLMs, AI Agents & Workflow Automation | Remote Position Type: Full-Time, Remote Working Hours: U.S. Business Hours About the Role At Pavago, one of our clients is hiring an AI Engineer / AI Automation Specialist to build AI-powered applications, intelligent agents, integrations, and business automations. This is a hands-on technical role for someone who can take an AI or automation use case from idea to working implementation . You’ll combine software development, LLMs, APIs, automation platforms, and agentic workflows to build systems that reduce manual work and improve business efficiency. You’ll work across generative AI, AI agents, API integrations, workflow automation, prompt engineering, and internal tooling , while continuously evaluating emerging AI technologies. What You’ll Own AI Applications & Agent Development Design and build AI-powered applications and workflows Develop AI agents that can execute structured tasks and business processes Build agentic workflows using LLMs, tools, APIs, and business logic Turn manual processes into scalable AI-assisted systems Improve existing AI applications as business requirements evolve LLM & Generative AI Integration Integrate LLMs with internal systems and third-party platforms Build structured workflows around generative AI models Develop and refine prompts, tools, and reusable AI components Implement reliable structured outputs and workflow logic Evaluate AI responses for quality, consistency, and reliability Automation & Business Workflows Build automated workflows that reduce repetitive manual work Connect applications and business systems using APIs and automation platforms Develop workflows using tools such as Make, Zapier, n8n, or similar platforms Troubleshoot failed or unreliable automations Continuously improve workflow efficiency and scalability APIs & Integrations Build and maintain API integrations between AI systems and external platforms Work with webhooks and third-party services Manage data flows between applications and automation workflows Troubleshoot integration issues and improve system reliability Development & Internal Tools Build internal tools that improve team productivity and operational efficiency Develop technical solutions using Python and/or JavaScript/TypeScript Write clean, maintainable code for AI and automation systems Use modern AI coding tools to accelerate development and debugging Support deployment and ongoing maintenance of AI-powered solutions AI Quality, Testing & Reliability Evaluate AI output quality and reliability Test prompts, workflows, agents, and integrations Identify edge cases and failure points Improve AI systems based on real-world performance Build appropriate safeguards and validation into automated workflows Research & Experimentation Research and test emerging AI technologies Evaluate new LLMs, agent frameworks, AI coding tools, and…