- Advanced techniques for creating AI systems that function as domain experts in specialized knowledge areas
- Cutting-edge approaches to personalization in educational content using the latest AI technologies
- How to bridge the gap between theoretical AI capabilities and practical educational applications
- Methods for evaluating and improving AI-generated educational content through structured feedback loops
Senior AI Engineer $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Elite AI Engineers Don't Just Build Models—They Revolutionize Learning
At LearnWith.AI, we're not interested in incremental improvements to educational technology. We're creating AI systems that fundamentally transform how students learn by generating truly personalized, engaging content at scale. If you're among the top 1% of AI engineers who can architect intelligent systems that function as subject-specific "Second Brains," we want you on our team.
The EdTech market is saturated with generic learning tools that fail to adapt to individual student needs. We're solving this by developing AI-driven knowledge repositories that dynamically generate tailored educational materials—reducing educator burden while dramatically improving student engagement. This isn't about building another chatbot; it's about creating sophisticated AI systems that understand educational content deeply enough to personalize it effectively.
What you will be doing
- Architect and implement sophisticated AI workflows that seamlessly integrate multiple LLM technologies, custom prompting strategies, and feedback loops to continuously improve content generation
- Develop specialized "Second Brain" knowledge repositories that function as AI domain experts for subjects like Science and History, capable of producing contextually rich educational materials
- Design advanced data structures and models that enable context-aware content generation, ensuring our AI systems deliver educational materials that adapt to specific learning styles and needs
What you will NOT be doing
- Building simple chatbots or implementing basic AI assistants that merely repackage existing content
- Working on isolated AI features that don't connect to our core mission of transforming educational experiences
- Following established patterns or maintaining legacy systems—this role demands constant innovation
- Developing theoretical models without clear paths to practical implementation in educational settings
Key responsibilities
Transform LearnWith.AI's market position by engineering AI systems capable of generating highly engaging, personalized educational content that demonstrably improves learning outcomes and creates sustainable competitive advantage.
Candidate requirements
- Minimum 4 years of professional software engineering experience with demonstrated excellence in complex system design
- Proven track record integrating advanced LLM technologies into production software products (beyond simple chatbots or coding assistants)
- Demonstrated passion for EdTech, evidenced through relevant projects, contributions, or professional experience
Nice to have
- Experience with RAG (Retrieval-Augmented Generation) systems and vector databases
- Background in educational content development or instructional design
- Familiarity with prompt engineering techniques for educational applications
- Experience building systems that evaluate content quality or learning effectiveness
How it works
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
STEP 1
Chat-style
screening interview.
STEP 2
Cognitive 
aptitude test.
STEP 3
Prove real-world 
job skills.
STEP 4
Interview with the hiring manager.
STEP 5
Accept Job Offer.
ONE LAST THING
Pass 
proctored test.
Frequently asked questions
What you will learn
Work examples
- Developing a History "Second Brain" that generates personalized learning materials based on a student's interests, learning style, and current knowledge level
- Creating an AI workflow that transforms curriculum standards into engaging, multi-format content adaptable to different learning contexts
- Building evaluation systems that measure and improve the educational effectiveness of AI-generated content
Reviews
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Why Crossover
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.