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AI Engineer​/AI Automation Specialist

Job in San Diego, San Diego County, California, 92101, USA
Listing for: Pavago
Full Time position
Listed on 2026-11-05
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), AI QA / Validation Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 190000 USD Yearly USD 120000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer / AI Automation Specialist
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/Type Script
  • 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 automation platforms
  • Identify practical opportunities to apply new technologies
  • Recommend improvements based on testing and business impact
Documentation & Process Development
  • Document AI systems, workflows, integrations, and processes
  • Create clear technical documentation for ongoing maintenance
  • Maintain organized records of automation logic and system dependencies
  • Build repeatable processes that allow successful solutions to scale
Requirements
  • Professional experience in software development, automation, AI, or a related technical role
  • Hands‑on experience working with LLMs and generative AI
  • Experience building AI‑powered applications, workflows, or automations
  • Experience integrating APIs and third‑party platforms
  • Programming experience, preferably with Python and/or JavaScript/Type Script
  • Familiarity with AI coding tools and agentic development workflows
  • Unders…
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