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AI Developer IV / Principal AI Engineer -- Remote /W2/

Intellisoft TechnologiesUnited States🇺🇸United StatesPosted 28 Jul 2026

Why This Role Stands Out

Lead impactful AI initiatives as a Principal AI Engineer at Intellisoft Technologies, leveraging your extensive experience to design and implement enterprise-scale solutions in a fully remote environment. This role is ideal for seasoned engineers with deep expertise in Python, distributed systems, and cloud-native architectures who are eager to influence organizational strategy and drive innovation. Embrace this opportunity to grow your career with a reputable company offering long-term engagement.

Quick Overview

Work Type
Remote
Level
Leader

Job Description

Hi,

Position: AI Developer IV / Principal AI Engineer
Location: Remote (Preferred) | Onsite in Juno Beach, FL or St. Paul, MN
Duration: Long Term


Required Qualifications

  • Bachelor''s degree in Computer Science, Engineering, or a related technical field
  • 15+ years of software engineering experience
  • Extensive experience designing and implementing enterprise-scale AI solutions
  • Expert-level Python development experience
  • Proven experience building scalable distributed systems
  • Strong understanding of AI/ML technologies and modern software architecture
  • Experience designing cloud-native applications within AWS and/or Google Cloud Platform environments
  • Strong expertise in infrastructure automation and Infrastructure as Code (Terraform)
  • Experience leading large technical programs and influencing organizational strategy
  • Excellent communication and stakeholder management skills

Required Technical Skills

Backend Development

  • Python (required)
  • Strong backend engineering experience
  • API and microservices design

Frontend Development

  • Vue.js (preferred)
  • React or Angular acceptable

Cloud & Infrastructure

  • AWS and/or Google Cloud Platform (Google Cloud Platform)
  • Terraform
  • Cloud-native architecture
  • Distributed systems

DevOps & Development Tools

  • GitLab
  • CI/CD pipelines
  • Infrastructure automation

Artificial Intelligence

  • Generative AI technologies
  • AI application architecture
  • AI-assisted development tools
  • Experience with tools such as:
    • Claude
    • Codex
    • GitHub Copilot
    • Similar AI engineering platforms

Skills

Microservices
AWS
Angular
Generative AI
Google Cloud
Python
React
Stakeholder Management
Terraform
Vue

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