Senior Software Engineer

Start Date: ASAP

Role Type: Full-Time, Salaried

Background: Software Development

Location: Remote, USA-based (up to 10% of travel)

Salary: $170,000-190,000 per year, plus benefits  

Who We Are:

The Modern Classrooms Project is a fast-growing 501(c)(3) nonprofit organization that empowers educators to build classrooms that respond to every student’s needs. Founded by two award-winning teachers, we lead a movement of educators in implementing a self-paced, mastery-based instructional model that leverages technology to foster human connection, authentic learning, and social-emotional growth.

To date, our free online course and Virtual Mentorship Program have empowered almost 100,000 educators in 150+ countries. We’ve partnered with schools and districts nationwide to train and support both teachers and administrators, and researchers from Johns Hopkins University found “overwhelming positive support” for our approach. We are an ambitious, idealistic team and we are passionate about what we do.

Job Description - Why we need you!  

For the past eight years, we have empowered educators to use technology more effectively. Last year, we secured funding to begin developing our own edtech software products.

We need an experienced, hands-on, AI-native Senior Software Engineer to help transform our product vision into reality. You will be a foundational member of our new technical team, taking the lead on front-end and full stack web application development and creating the intuitive, powerful tools that will directly support educators and students every day.

 

Key Responsibilities

You’ll be joining a small and growing team of talented software engineers working together to solve the problems our teachers face every day, make teachers more effective, and make our evidence-based model more accessible to any educator who wants to help all of their students succeed. We need you to help us make that happen.

 

You will:

• Ship multiple substantial features per week. This is a minimum velocity bar, not an exaggeration. You will leverage AI and agentic coding to build incredible software, very, very quickly.
  
   
• Operate as the technical lead and steward of your agentic coding pipeline. Write detailed prompts and specifications, and embrace Spec-Driven Development. Compose orchestrator agents and dispatch agent teams. Engineer RALPH Loops with well-formed completion promises. Actively multitask between several agents to simultaneously develop multiple substantial features in parallel.
  
   
• Build the AI workflow engine that powers our products. Develop state-of-the-art graph-based agentic orchestration workflows with nodes and conditional edges, structured outputs, interrupts and human-in-the-loop circuit breakers. Implement durable execution, long-running work that survives process restarts, rate limits, and outages, with an evaluation harness, versioned prompt chains, annotated datasets and cross-provider benchmarks on cost, latency, and quality.
  
   
• Own your frontend craft. Design and build user-facing features in Angular, Firestore, Observables, RxJS, and TypeScript that feel intuitive to the teachers and students using them. Accessibility, performance, and responsive UX are an integral part of the job.
  
   
• Extend the context layer. Contribute to our AGENTS.md, DESIGN.md, and Agent Skills so that every session produces better work than the last. These are living production artifacts, and you own the parts that describe your domain.
  
   
• Partner on architecture. Collaborate closely with the Head of Engineering, Chief Innovation Officer, and other product leaders on technical direction, feature roadmap, and the hard technical design decisions and trade-offs underneath.
  
   
• Raise the bar for the team. Review the work of teammates and contractors. Collaborate with teammates on architecture and implementation reviews. Write PR comments, design docs, and agent skills that make the next person faster.
   

You should apply if:

• You are AI-native . You are an expert in continuous multi-session development with Claude Code and/or OpenAI Codex. You are an expert at prompt engineering and context engineering. You write Agent Skills the way other engineers write unit tests. You practice Spec-Driven Development (GitHub Spec Kit or equivalent) as part of your normal workflow. You know what a RALPH Loop is and how to deploy one.
  
   
• You ship, a lot. You deliver multiple large features per week. Not because you're cutting corners, but because you've rebuilt your workflow around agentic tools and you have the taste to steer them well. You know the difference between vibe-coding and prompt engineering with specification-driven work, and you know which one to reach for in which situation.
  
   
• You have built real backend AI orchestration layers that run when you're not watching. You think in graphs — shared state flowing through nodes, conditional edges, interrupts, and circuit breakers. You have shipped non-trivial agentic pipelines using LangGraph, Temporal, or equivalent. You treat durable execution, structured outputs, human-in-the-loop checkpoints, and provider-agnostic model routing as baseline design constraints. You have built evaluation harnesses, annotated datasets, and versioned prompt chains as first-class artifacts.
  
   
• You are a frontend craftsperson. You have deep experience with Angular, Firestore, Observables, RxJS, and TypeScript. You have opinions, earned in production codebases, about state management, component boundaries, reactive patterns, accessibility, and design systems. You care about the details that make a product feel intuitive to use.
  
   
• You critically evaluate code quality. Agent-generated code is plausible but not always right. You catch the subtly wrong abstraction, the missed edge case, the quietly unsafe type. You give feedback, to humans and to agents, that actually improves the work.
  
   
• You're a builder. You have a track record of building amazing things. You welcome ideas but seek real solutions, creating prototypes to test your assumptions and investing the time to make sure things work well.
  
   
• You are self-directed. You thrive in small, high-autonomy teams and startups where the surface area is broad and the context shifts constantly. You write clearly. You own a problem end-to-end without waiting for a ticket to tell you what to do next.
  
   
• You love to learn. You're actively leveraging the latest developments in AI and applying them to enhance both your own and others' work. You're also motivated by MCP's mission and vision , and eager to build teacher- and student-facing products.
  
   
• You're a team player. You have experience collaborating with vendors, contractors, and staff engineers in order to build products on time and within budget. You enjoy sharing your knowledge and helping your teammates grow.
  
   
• You want to shape the world. You're motivated to be part of something larger than yourself. You believe that the highest value of your talent is using it to empower others. You're ready to make a real difference in educators' and young people's lives.
  
   

It would also be helpful if:

• You have experience building edtech products that effectively leverage AI.
  
   
• You have experience integrating with education LMS and identity providers (Canvas, Clever, Google Classroom, Schoology, Moodle).
  
   
• You have experience implementing edtech open standards (Common Cartridge, Learning Tools Interoperability, OneRoster).
  
   
• You have experience handling sensitive and/or confidential data, particularly in an education context (COPPA, CIPA, FERPA, PPRA, SOC 2).
   

Compensation and Benefits

We aim to offer a competitive compensation package, as well as the opportunity to work in a fast-growing nonprofit that is on a mission to improve education worldwide. This includes:

• Salaried position: $170,000-$190,000 gross salary per year
• Employer-sponsored health insurance through CareFirst BlueCross BlueShield
• Participation in Vanguard 403(b) deferred-compensation plan with 3% employer match
• Paid Time Off, inclusive of: vacation/PTO (20 days), paid holidays, paid parental leave, sick and safe paid time off, "Me Days", and the ability to earn paid Comp time off
• Annual budget for MCP-funded Continuous Learning for the program(s) you request ( available after 6 months of continuous full-time employment) 
• FSA and Dependent Care FSA access
• 1x Salary Life Insurance company-paid coverage 
• Access to Wishbone Pet Insurance Benefit
• Ability to work remotely and to set your own hours (within reason)

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STATEMENT OF NON-DISCRIMINATION : The Modern Classrooms Project is committed to equal employment opportunity. We do not discriminate on the basis of race, color, gender, disability, age, religion, sexual orientation, nationality, or ethnicity. We are strongly committed to hiring a diverse team and encourage applications from traditionally under-represented backgrounds.