Software Engineer – Technology

🕒 vor 6 Tagen

🔔 Pennsylvania – Remote

infoinfo

💵 $108.000 - $115.000 / Jahr

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🗣️🇺🇸🇬🇧 Englisch erforderlich

Woher diese Stelle stammt

Veröffentlicht auf der Karriereseite von Law School Admission Council (LSAC), nicht über eine Jobbörse

Von Remote Rocketship zum ersten Mal gesehen vor 6 Tagen

Noch offen auf der Website von Law School Admission Council (LSAC). Geprüft vor 20 Minuten.

Logo of Law School Admission Council (LSAC)

Law School Admission Council (LSAC)

201 - 500 Mitarbeiter

Gegründet 1947

📚 Bildung

🤝 Non-Profit

👥 B2C

Education • Non-profit • B2C

Der Law School Admission Council (LSAC) ist eine Organisation, die sich der Erleichterung des Zulassungsverfahrens für Jurastudien widmet. Sie bietet Ressourcen für angehende Jurastudenten, darunter Informationen über Jura-Programme, Vorbereitung auf den LSAT und Ratschläge zur Bewerbung an Jurafakultäten. LSAC unterstützt auch die juristische Ausbildung durch Forschung, Diversitätsinitiativen und verschiedene Foren für Studienbewerber und Bildungseinrichtungen.

Beschreibung

• Collaborate with internal partners to design, configure, maintain, and promote internal and external applications while ensuring accessibility compliance • Monitor, test, and optimize software for reliability and architectural standards • Contribute to continuous code delivery using deployment tools and automated testing • Scale and maintain applications for dynamic teams in a fast-paced environment • Collaborate with software engineers, product managers, analysts, and stakeholders to deliver customer-focused solutions • Use GitHub Copilot and other AI-assisted development tools for coding, testing, and debugging while following prompting and code-review standards • Design and develop Generative AI features such as chat interfaces, document summarization, intelligent search, and automated content generation using Azure OpenAI Service and related APIs • Build and integrate RAG pipelines with vector databases such as Azure AI Search, Pinecone, and pgvector • Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review • Perform operational maintenance, troubleshooting, and support of backend systems • Work as part of an autonomous agile team

🎯 Anforderungen

• Bachelor’s degree in a relevant field such as computer science, engineering, or similar, or a minimum of 5 years of experience • Experience with object-oriented languages • Experience with web and cross-platform technologies • Hands-on experience with Git and code management methodologies • Experience with continuous delivery and automated testing • Experience with relational and unstructured data repositories • Experience with Scrum, Kanban, Lean, or other agile methodologies • Experience with React • Experience with MS VB and C# .NET frameworks, including Web Forms and Windows Forms, .NET Web API, Entity Framework 6.4, MVC Pattern, and SPA Framework • Experience with JavaScript and React JS • Experience with Microsoft SQL Server and Oracle stored procedures/scripts • Experience with Azure Functions, Azure Data Factory, Azure Storage Account, Azure Key Vault, Azure Cosmos DB, Service Bus, Azure App Service, Azure VMs, and Azure Table Storage • Experience with Azure DevOps CI/CD • Working knowledge of GitHub Copilot or comparable AI coding assistants, including effective prompting and reviewing AI-generated code for quality and security • Familiarity with Generative AI/LLM concepts, Azure OpenAI Service, prompt engineering, RAG, and vector databases • Awareness of Responsible AI principles, including bias, PII handling, and content safety • Excellent written and verbal communication skills and experience with MS Teams • Ability to work effectively on a cross-disciplinary team • Ability to ensure confidentiality of products and data • Preferred: Dapper, RESTful API/Web API, WCAG 2.1, ARIA, Power BI, Selenium or comparable testing frameworks • Preferred Azure AI certification or equivalent demonstrated proficiency • Preferred coursework, certifications, or project experience in machine learning, NLP, or applied AI/ML • Ability to work weekends may be necessary

🏖️ Vorteile

• Remote work arrangements will be considered • No travel expected • Equal Opportunity Employer • At-will employment

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