Ai Engineer

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 |