Artificial Intelligence Engineer
@ Trilogy

Hybrid
$200,000
Hybrid
Full Time
Posted 18 hours ago

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Job Details

About the Artificial Intelligence Engineer Role

Imagine being at the forefront of an educational revolution where AI meets personalized learning. At LearnWith.AI, we are building AI-driven solutions that transform how students engage with educational content. This role is about crafting intelligent systems that understand, adapt, and create engaging learning experiences.

What You Will Be Doing

Create sophisticated AI workflows and orchestrate multiple AI tools and technologies.

  • Architect and manage advanced AI systems.
  • Develop intelligent, domain-specific learning systems using LLMs.
  • Design robust data architectures for scalable, context-aware learning.

Key Responsibilities

Spearhead development of AI-powered educational content systems, drive innovation in content generation, and collaborate with subject matter experts to refine AI-generated materials.

Basic Requirements

  • 4+ years of software engineering experience.
  • Deep expertise in sophisticated LLM integrations.
  • Strong passion for educational technology.
  • Solid understanding of AI/ML principles and practical applications in education.

About LearnWith.AI

LearnWith.AI is an edtech startup leveraging 50+ years of learning science, cutting-edge analytics, and AI-powered coaching to transform how students learn. This remote-first company hires globally via Crossover.

Working with Us

This is a full-time, long-term, remote position available immediately as an independent contractor through Crossover. Compensation is $100 USD/hour, equating to $200,000 USD/year.

Key skills/competency

  • AI
  • LLM
  • EdTech
  • Software Engineering
  • Data Architecture
  • Workflow Orchestration
  • Personalized Learning
  • Innovation
  • Machine Learning
  • Education Technology
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How to Get Hired at Trilogy

🎯 Tips for Getting Hired

  • Tailor your resume: Highlight AI and EdTech experience.
  • Showcase project success: Emphasize LLM integrations and data architecture projects.
  • Research Trilogy: Understand their mission and recent news.
  • Prepare for technical questions: Review AI workflows and system design examples.

📝 Interview Preparation Advice

Technical Preparation

Review advanced LLM architectures.
Practice designing AI workflows.
Study scalable data architecture principles.
Brush up on AI/ML algorithm implementations.

Behavioral Questions

Discuss adapting to rapid changes.
Explain handling complex project challenges.
Describe teamwork in remote settings.
Share experiences on innovative problem solving.

Frequently Asked Questions