Panorama Education-posted 2 months ago
Full-time • Senior
251-500 employees

As a Principal AI Engineer in the AI Incubator, you will be a force multiplier across product and engineering. You will bring strong systems thinking, fast execution, and high-quality craftsmanship to the challenge of delivering production-ready AI experiences that feel magical to educators and students. You will design and deliver production systems that make full use of large language models to power in-product assistance, summarization, personalization, and task automation. LLMs are a foundational part of our platform. You will be responsible for selecting the right models, structuring inputs and outputs, and building robust infrastructure that supports scalable and reliable usage in real-world settings. This is a role for someone who thrives in high-trust, high-autonomy environments. You will ship quickly, raise the bar for those around you, and turn early-stage ideas into durable systems that create measurable value for educators and students.

  • Design and build scalable systems and AI-driven features across the Solara and Class Companion platforms
  • Apply LLMs to power in-product assistance, summarization, personalization, and automation features
  • Prototype and evaluate agentic workflows that support educators in real-time decision making
  • Own the delivery of fast, reliable systems that are secure, observable, and cost-effective
  • Collaborate across product, design, marketing, and client-facing teams to ensure what we build is timely and impactful
  • Balance hands-on coding with broader technical leadership, including mentoring engineers and guiding architectural decisions
  • Operate across the stack when needed, with strength in backend and infrastructure and fluency in full-stack development
  • Drive continuous improvement in engineering standards, velocity, and product quality across the team
  • 8 or more years of software engineering experience, including time at the Staff or Principal level
  • A strong track record of building backend systems and delivering AI-powered products in production
  • Experience applying large language models in real-world applications, including prompt design, evaluation, and deployment
  • Proficiency in Ruby on Rails, with additional strength in front-end (Vue.js) and cloud infrastructure, we use AWS
  • A 10x mindset: high output, high standards, and a clear ability to simplify and accelerate complex work
  • Clear and direct communication, and a collaborative, team-first approach to leadership
  • A passion for building practical tools that help educators support student success
  • Base Salary: The starting base salary for this position is $315,000.
  • Actual offers depend on experience, skill and location.
  • Annual bonuses or commission awards
  • Equity awards
  • Region-specific health and welfare benefits
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