Senior Software Engineer, Applied AI

Teachstone

. Partner with Product Management and stakeholders to evaluate and prioritize AI opportunities addressing customer and organizational needs .

Posted 9/23/2026full-timeRemote • United StatesSenior💰 $160,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying secure AI-enabled systems while effectively translating responsible AI principles into engineering practices. Proficient in evaluating AI opportunities and guiding teams in the integration of AI models and services to enhance organizational capabilities.

Highest-signal resume keywords

Senior-Level Software Engineering ExpertiseExperience with AI Model IntegrationDeep Proficiency in Modern Programming LanguagesExperience Building Production Web ApplicationsHands-On Experience with AI-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Model IntegrationProduction System DeploymentFrontend FrameworksServer-Side FrameworksData Flow ManagementObservability PracticesRisk MitigationEvaluation PracticesScalability

Soft Skills

Technical JudgmentMentoringCommunicationCollaborationProblem-Solving

Tools & Technologies

ReactRuby on RailsSpring MVCTanStack StartAI-Assisted Development Tools

Industry Keywords

AI OpportunitiesResponsible AI PrinciplesHuman OversightReusable ArchitecturesProduction Data Evaluation

Tech Stack

Tools & technologies

ReactRubyRuby on RailsSpring

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

At least 5 years of experience as a professional software engineer
Senior-level software engineering expertise designing, building, testing, deploying, and operating secure, reliable production systems
Sound judgment across privacy, scalability, data flow, observability, and operational cost
Hands-on experience taking applied-AI capabilities from experimentation into production
Experience with model integration, prompt and context design, evaluation, monitoring, safeguards, and integration with broader software platforms
Experience evaluating and integrating AI models or services
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
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
Preferred: experience with React, TanStack Start, Ruby on Rails, and Spring MVC
Preferred: experience working in dynamically and statically typed programming languages
Preferred: experience evaluating or integrating multiple commercial or open-source AI models, platforms, or service providers
Preferred: experience establishing reusable engineering patterns, evaluation practices, or observability for AI-enabled systems
Preferred: experience sharing AI-assisted development practices or helping peers adopt new engineering tools and workflows

Benefits

Comp & perks

Equal pay for equal work using consistent salary bands based on market benchmarks, reviewed annually
Medical and dental benefits
401(k)
Paid time off (PTO)
Insurance
Development opportunities