Senior Software Engineer, AI Solutions

Company Description

Uncommon Schools is a nonprofit network of high-performing public charter schools dedicated to providing an exceptional K-12 education in economically disadvantaged communities. Operating in Boston, Camden, New York City, Newark, and Rochester, we are committed to closing the college completion gap and preparing every student for college and beyond. Our students consistently exceed national benchmarks, reflecting our dedication to their success.

We invest deeply in our educators, offering weekly coaching, feedback, and professional development to ensure excellence in teaching and leadership. Join us to work hard, do good, and make a lasting difference!

Are you passionate about building AI systems that solve real operational challenges within the education sector? We’re looking for a Senior Software Engineer to lead the vision setting for and deployment of AI solutions across Uncommon Schools—from intelligent agents that automate workflows to secure integrations with our core systems. In this role, you’ll translate business needs into scalable AI infrastructure, mentor developers across functions, and help shape how our organization leverages generative AI.

Your work will directly impact how thousands of educators and administrators work each day.

• Gather requirements from stakeholders across Uncommon and translate business challenges into comprehensive technical specifications for end-to-end AI systems
• Design and architect AI solutions including data flows, model selection, and integration patterns that balance innovation with reliability
• Partner with business process owners, product managers, and system managers to align AI capabilities with user needs and organizational goals

• Rapidly prototype and build Proofs of Concept and Minimum Viable Products using Large Language Models, Retrieval-Augmented Generation (RAG) pipelines, and AI agent frameworks
• Architect and deploy production-grade AI agents that automate complex workflows while ensuring scalability, observability, and continuous performance monitoring
• Build secure API integrations and data pipelines that allow AI systems to safely interact with core Uncommon databases without errors or data hallucination

• Establish reusable AI stack templates and low-code tools that empower non-technical team members to develop solutions independently
• Maintain comprehensive documentation of AI environments, tools, and data flows to ensure organizational clarity and consistency
• Work with Data & IT product managers to determine implementation pathways and data architecture across systems

• Develop and maintain a library of “Prompt Blueprints” and best practices for AI implementation across the organization
• Ensure 100% compliance with security audits regarding personally identifiable information handling within AI systems
• Coach and support adjacent teams on AI development methodologies and emerging best practices

• Bachelor’s degree in Computer Science, Data Science, Engineering, or equivalent professional experience
• 7+ years of professional software development experience
• 5+ years of hands‑on experience building integrations using APIs between applications
• 5+ years working with source control and continuous integration tools (such as Git Lab)
• Experience with frequent, incremental code testing and deployment practices
• Strong understanding of automation tools and SDLC methodologies

• Master’s degree in Computer Science, Data Science, or related field
• Hands‑on experience with AI frameworks such as Lang Chain, Llama Index, Tensor Flow, or Py Torch
• Expertise deploying solutions on cloud platforms (AWS Bedrock/Sage Maker or Google Cloud Vertex AI)
• Experience working with modern data tooling (e.g., dbt, Airflow) or similar frameworks for data transformation and workflow orchestration is a plus
• Experience designing and optimizing prompts for generative AI models
• Track record mentoring or coaching other developers on technical practices

Our people are what make us Uncommon. We offer…