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Panorama Education

Principal Software Engineer - AI

Reposted 15 Days Ago
Remote
Hiring Remotely in United States
315K-315K Annually
Senior level
Remote
Hiring Remotely in United States
315K-315K Annually
Senior level
The Principal AI Engineer will design and build AI-driven systems, applying large language models to enhance educational tools and products. Responsibilities include prototyping workflows, ensuring system reliability, and collaborating across teams while mentoring engineers.
The summary above was generated by AI

About Panorama:
Panorama Education is a fast-growing technology company partnering with K-12 school districts to help students succeed in the classroom and beyond. Today, 2,000 districts serving 15 million students across all 50 states rely on our secure, research-backed platform for AI, student support, and community voice and engagement. We also provide professional development and hands-on support to help schools to achieve their strategic goals and improve student outcomes. When you join Panorama, you become part of a mission-driven team making a real impact for students every day.

Panoramians can choose to work fully remote anywhere within the Continental United States.

About Solara AI

With the launch of Solara AI, we are building Panorama’s next market-defining product, focused on transforming how educators use AI to support students.

Solara AI has seen rapid early success, and we are growing our footprint across large school districts. To accelerate this momentum, we have launched the AI Incubator, a focused internal team building AI-first solutions for K-12 education with speed, creativity, and rigor. This team operates with autonomy, fast decision-making, and a mandate to lead Panorama’s efforts in a competitive, high-growth space.

We are looking for a Principal AI Engineer to join the team and help shape the next generation of AI-powered education technology.

About the Role

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.

Responsibilities
  • 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
Our Ideal Candidate Has
  • 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.


Our salary is just one component of Panorama’s competitive total rewards strategy that also includes annual bonuses or commission awards, equity awards, as well as other region-specific health and welfare benefits

#LI-Remote 

Top Skills

AWS
Large Language Models
Ruby On Rails
Vue

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