Senior Software Engineer, Applied AI

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $160 000 - $180 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

👻 Score fantôme 0%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Teachstone

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2008

📚 Éducation

☁️ SaaS

🤝 B2B

Education • SaaS • B2B

Teachstone est une entreprise axée sur l'amélioration de la qualité éducative grâce à des interactions efficaces entre éducateurs et enfants. Ils ont développé le cadre CLASS® pour aider les éducateurs à améliorer la qualité des interactions dans les environnements éducatifs. Teachstone propose une variété de programmes de formation, de certifications et de ressources pour soutenir les éducateurs, les coachs et les dirigeants scolaires dans la mise en œuvre de ces stratégies en classe. Leur travail repose sur l'idée que des interactions significatives peuvent améliorer considérablement l'apprentissage et le développement des enfants. Teachstone met également l'accent sur l'impact social et environnemental et est une société certifiée B Corporation, témoignant d'un engagement envers des normes élevées de performance axée sur un objectif.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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