Senior Software Engineer, Applied AI

Teachstone

9d•$160,000 - $180,000

About The Position

Teachstone supports great teaching by helping educators understand and improve classroom interactions. Our technology must be reliable, secure, scalable, and responsive to the needs of the educators and organizations we serve. The Senior Software Engineer, Applied AI is a senior individual contributor responsible for turning prioritized AI opportunities into secure, reliable, responsible, and sustainable production capabilities. The role also contributes to advancing Engineering’s effective and responsible use of AI-assisted software development practices.

Requirements

At least 5 years of experience as a professional software engineer
Demonstrated senior-level software engineering expertise designing, building, testing, deploying, and operating secure, reliable production systems, with sound judgment across privacy, scalability, data flow, observability, and operational cost.
Hands-on experience taking applied-AI capabilities from experimentation into production, including model integration, prompt and context design, evaluation, monitoring, safeguards, and integration with broader software platforms.
Experience evaluating and integrating AI models or services, with the ability to explain technical choices in terms of customer and staff value, quality, cost, risk, performance, and maintainability.
Deep proficiency in at least one modern programming language, along with demonstrated ability to learn and work effectively across languages, codebases, and technology stacks.
Experience building and maintaining production web applications using modern frontend and server-side frameworks and libraries.
Experience using AI-assisted development tools effectively and responsibly in day-to-day software engineering work.

Nice To Haves

Experience with one or more technologies in Teachstone’s current stack, including React, TanStack Start, Ruby on Rails, and Spring MVC.
Experience working in both dynamically and statically typed programming languages.
Experience evaluating or integrating multiple commercial or open-source AI models, platforms, or service providers.
Experience establishing reusable engineering patterns, evaluation practices, or observability for AI-enabled systems.
Experience sharing AI-assisted development practices or helping peers adopt new engineering tools and workflows.

Responsibilities

Partner with Product Management and relevant stakeholders to evaluate and prioritize AI opportunities that address customer and organizational needs, contributing technical judgment about 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 Teachstone’s responsible AI principles and policies into system requirements and engineering practices, including appropriate evaluation, data protection, risk mitigation, monitoring, and human oversight.
Establish reusable architectures, implementation patterns, tools, and documentation that enable Teachstone to develop and maintain AI-enabled systems sustainably.
Guide choices among models, platforms, vendors, and build-versus-buy options by balancing customer and staff needs with quality, cost, risk, performance, maintainability, and governance requirements.
Define measures of success and use production data, evaluations, and stakeholder feedback to improve the quality, effectiveness, and efficiency of AI-enabled systems over time.
Contribute to Engineering’s effective and responsible use of AI-assisted development tools by sharing practical patterns, lessons learned, and guidance with peers.
Build AI literacy across Teachstone by mentoring others and helping cross-functional partners understand AI’s capabilities, limitations, effective uses, and situations in which other approaches are better suited.
Guide teams toward approved and preferred AI services, helping Teachstone adopt AI consistently, securely, responsibly, and in alignment with organizational priorities.
Other duties as assigned.