Teachstone

Full-stack Engineer

• Partner with Product Management and stakeholders to evaluate and prioritize AI opportunities addressing customer and organizational needs
• Provide technical judgment on feasibility, risk, and whether AI is the appropriate approach
• Lead the technical design, prototyping, implementation, deployment, and operation of secure, reliable, and scalable AI-enabled products and internal tools
• Translate responsible AI principles and policies into system requirements and engineering practices
• Establish appropriate evaluation, data protection, risk mitigation, monitoring, and human oversight
• Establish reusable architectures, implementation patterns, tools, and documentation for sustainable AI-enabled systems
• Guide choices among models, platforms, vendors, and build-versus-buy options
• Define success measures and use production data, evaluations, and stakeholder feedback to improve AI-enabled systems
• Share practical patterns, lessons learned, and guidance on AI-assisted development tools with engineering peers
• Build AI literacy across Teachstone by mentoring others and helping cross-functional partners understand AI capabilities and limitations
• Guide teams toward approved and preferred AI services
• Surface risks, navigate ambiguity, and balance experimentation and speed with reliability and long-term sustainability
• Perform other duties as assigned

Senior Software Engineer, Applied AI