Application Guide

How to Apply for Software Engineer (AI Systems)

at EdReports

🏢 About EdReports

EdReports is a nonprofit disrupting the education market by providing free, evidence-based reviews of instructional materials, directly impacting student learning outcomes. Working here means contributing to a mission-driven team that values transparency and equity in education, while leveraging cutting-edge AI to scale impact.

About This Role

As a Software Engineer on AI Systems, you'll design and build the core AI infrastructure—from data pipelines to LLM-powered tools—that powers curriculum analysis and review. Your work will directly help educators identify high-quality materials, making a tangible difference in classrooms nationwide.

💡 A Day in the Life

Your day might start with a standup with the distributed team, then dive into coding a new data ingestion pipeline for a batch of math curricula. After lunch, you'd collaborate with a product manager to refine a prompt workflow based on reviewer feedback, and end the day by reviewing code for a colleague's retrieval system update.

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🎯 Who EdReports Is Looking For

  • Has 7+ years building production software, with at least 3 focused on AI/ML systems, including RAG, LLM APIs, and prompt engineering.
  • Deep expertise in cloud platforms (GCP or AWS) and scalable web architectures, with a track record of deploying secure, high-availability systems.
  • Strong product mindset: can translate user needs (educators, reviewers) into technical solutions and iterate based on feedback.
  • Excellent communicator who can explain complex AI concepts to non-technical stakeholders and collaborate cross-functionally.

📝 Tips for Applying to EdReports

1

Highlight experience with multi-modal data pipelines (text, images, PDFs) and how you've handled large-scale curriculum-style datasets.

2

Showcase specific projects where you built RAG systems or used LLM orchestration frameworks (e.g., LangChain, LlamaIndex) in production.

3

Emphasize any work in education technology or nonprofit tech, but if not, connect your past work to mission-driven outcomes.

4

Tailor your resume to include keywords from the job description: 'data ingestion pipelines', 'retrieval systems', 'prompt workflows', 'evaluation approaches'.

5

Prepare a concise portfolio or GitHub repo demonstrating AI system components you've built, with clear documentation and impact metrics.

✉️ What to Emphasize in Your Cover Letter

['Passion for education equity and how AI can improve curriculum quality for underserved schools.', 'Specific examples of building AI systems that were user-centric and had measurable quality improvements.', "Your experience with evaluation and bias detection in AI outputs, aligning with EdReports' evidence-based mission.", 'Ability to work remotely and autonomously while collaborating with a distributed team.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Review EdReports' current review process and rubrics (available on their website) to understand the data and workflows you'll support.
  • → Read their blog or press releases about how they use technology to scale their mission.
  • → Familiarize yourself with the Common Core standards and how curriculum alignment is evaluated.
  • → Look at their engineering team's culture (if available via LinkedIn or Glassdoor) to understand remote work norms and tech stack.
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💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you design a system to ingest and parse thousands of PDF curriculum materials and extract structured data for review?
2 Describe a time you built a RAG pipeline: what retrieval strategy did you use, how did you handle chunking, and how did you evaluate answer quality?
3 How would you measure and mitigate bias in AI-generated summaries of educational content?
4 Walk us through how you would architect a scalable, secure web service on GCP or AWS for internal users to query AI outputs.
5 How do you approach prompt engineering for complex, multi-step tasks? Give an example of a prompt you iterated on.
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⚠️ Common Mistakes to Avoid

  • Submitting a generic cover letter that doesn't mention education or nonprofit impact.
  • Overlooking the 7-year experience requirement or not clearly explaining how an advanced degree substitutes for up to 2 years.
  • Focusing only on AI model training rather than production systems, pipelines, and evaluation—this role emphasizes engineering over research.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to EdReports!

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