AI Platform Engineer

🕒 il y a 3 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

🏗️ Ingénieur Plateforme

👻 Score fantôme 11%

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GiveCampus

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

🤲 Charité

📚 Éducation

☁️ SaaS

💰 €50 000 000 Private Equity Round en 2022-09

Charity • Education • SaaS

GiveCampus est une plateforme technologique de collecte de fonds exclusivement conçue pour les établissements scolaires, leur permettant d'automatiser les flux de travail et d'améliorer l'engagement des donateurs. Elle propose des outils pour les dons en ligne, la gestion d'événements, la communication avec les donateurs et la recherche de prospects, le tout visant à simplifier le processus de collecte de fonds et à maximiser les contributions des anciens élèves et des sympathisants. Avec plus de 1 500 écoles partenaires et plus de 6 milliards de dollars collectés via sa plateforme, GiveCampus s'engage à améliorer l'expérience de collecte de fonds pour les établissements d'enseignement supérieur et les écoles K-12.

Description

• Design, build, and operate GiveCampus's next generation of AI infrastructure • Build shared company and Partner context and memory used across agents • Establish identity, access, auditable permissions, credentials, and MCP connection management • Create a registry of existing AI tools and systems • Build governance including production evaluation gates, audit trails, monitoring, prompt-injection protection, and data-leak prevention • Make build-versus-buy decisions with Infrastructure • Develop templates and guardrails for Taskforce builders • Measure AI impact by department • Develop agents that run end-to-end processes and increase agent autonomy over time • Build an internal deployment platform for apps and agents • Contribute to model and cost strategy • Become the technical lead for AI across GiveCampus and set internal AI architecture standards • Make technical architecture and engineering decisions for the platform • Support adjacent work such as internal-tool front ends, adoption builds, and business-workflow analysis • Report to the AI Transformation Lead • Partner with Engineering, Product, AI Plumbers, and departmental AI Taskforce builders

🎯 Exigences

• Six or more years of software engineering experience, including meaningful time owning platform, infrastructure, or backend systems in production • Hands-on experience shipping LLM systems with real users, including retrieval, tool use, evaluations, and MCP or similar integration patterns • Strong Python • Experience with cloud infrastructure, AWS preferred • Experience with authentication and observability • Security mindset covering access, data boundaries, and failure modes • Record of building internal platforms or shared services adopted by others • Experience growing a system from an early version into something a whole company depends on • Appetite to grow into the technical lead for AI across the company • Current knowledge of AI and commitment to continued learning • Business-results orientation • Comfort working from requirements set with a product partner and judgment to challenge technical direction when appropriate • Clear written communication with technical and non-technical teammates • Nice to have: experience with agent orchestration, multi-agent systems, or agent governance tooling • Nice to have: familiarity with Snowflake, dbt, or a semantic layer • Nice to have: experience with Salesforce data and APIs • Nice to have: startup or small-team experience as the first owner of a system

🏖️ Avantages

• Team members work from anywhere they choose within the US • Access to a 12,000-square-foot Washington, DC office whenever desired • Regular team meet-ups, partner institution visits, and retreats • Remote-first, flexible, distributed work • Sustainable Growth culture • Employee liquidity event participation through the 2025 $140 million growth investment • Written culture with async work, real autonomy, and direct access to leadership • Supportive, inclusive, and learning-focused environment • Equal Opportunity Employer

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