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/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 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/TypeScript

Familiarity with AI coding tools and agentic development workflows

Understanding of prompt development and structured AI workflows

Strong troubleshooting and problem-solving skills

Ability to independently take projects from concept through implementation

Strong written and spoken English

Comfortable working independently in a remote environment

Nice to Have

Experience with Make, Zapier, n8n, or similar automation platforms

Experience building AI agents or multi-step agentic workflows

Familiarity with webhooks and event-driven integrations

Experience developing internal business tools

Experience working with structured LLM outputs and tool/function calling

Familiarity with cloud deployment and modern development workflows

Experience evaluating and monitoring AI system performance

Tools & Technologies
LLMs & Generative AI | Python | JavaScript/TypeScript | APIs | Webhooks | Make | Zapier | n8n | AI Coding Tools | Agentic Workflows | Automation Platforms
What Makes You a Strong Fit
You’ll likely thrive in this role if you:

Build with AI rather than simply use AI for basic productivity

Enjoy turning manual workflows into automated systems

Can move from an idea to a functional technical solution independently

Understand both software development and business automation

Experiment with new AI tools and technologies regularly

Think critically about AI reliability rather than assuming outputs are correct

Are comfortable troubleshooting across APIs, code, and automation platforms

Prioritize practical business impact over experimentation for its own sake

What a Typical Day Looks Like
Your day may include building an AI agent, connecting an LLM to a business platform through an API, developing an automation in n8n or Make, troubleshooting an existing workflow, or creating an internal tool that eliminates repetitive work.
You may also test prompts and agent behavior, evaluate AI output quality, document systems, and research emerging AI technologies that could improve existing workflows.
In short: you turn AI capabilities into practical, reliable systems that automate work and improve business operations.
Key Metrics for Success

AI workflows successfully deployed into real business processes

Reduction in repetitive manual work

Reliability and accuracy of AI-powered systems

Successful API and third-party integrations

Speed from idea to working implementation

Automation uptime and workflow reliability

Quality and maintainability of technical documentation

Measurable operational efficiency created through AI

Interview Process

Initial Application

Spark Hire One-Way Video Interview

Video Interview with Pavago Recruiter

Technical / AI Automation Interview

Client Interview

Offer & Onboarding

Spark Hire Video Interview – Required
As part of the application process, all candidates are required to complete a one-way video interview through Spark Hire.
After completing the first step of your application, you’ll receive a Spark Hire invitation by email with instructions to record and submit your video responses.
Completion of the Spark Hire video is required to be considered for the next stage. Please check your inbox as well as your spam or junk folder for the invitation.
Apply Now
If you have hands-on experience with LLMs, AI agents, workflow automation, APIs, and software development and enjoy turning business problems into working AI-powered systems, we’d love to hear from you.
Apply today and help build practical AI systems that automate work and improve how businesses operate.
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Originally posted on Himalayas