Software Engineer – Technology

Job not on LinkedIn

🔥 4 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $108k - $115k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Law School Admission Council (LSAC)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1947

📚 Education

🤝 Non-profit

👥 B2C

Education • Non-profit • B2C

Law School Admission Council (LSAC) is an organization dedicated to facilitating the law school admission process. It provides resources for aspiring law students, including information on law programs, preparation for the LSAT, and guidance on applying to law schools. LSAC also supports legal education through research, diversity initiatives, and various forums for law school applicants and institutions.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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