Software Engineer

Law School Admission Council (LSAC)

. Collaborate with company partners to design, configure, maintain, and promote internal and external applications while ensuring accessibility compliance .

Posted 9/21/2026full-timeRemote • Pennsylvania • United StatesMid-LevelSenior💰 $108,000 - $115,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing applications with a focus on Generative AI features, ensuring accessibility compliance and operational maintenance. Proficient in utilizing Azure services and AI-assisted development tools to deliver customer-focused solutions in an agile environment.

Highest-signal resume keywords

Generative AI DevelopmentAzure Services ExperienceContinuous Delivery and Automated TestingObject-Oriented ProgrammingAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C# .NET FrameworkJavaScriptReactAzure FunctionsMicrosoft SQL ServerEntity FrameworkGitAutomated TestingWeb APIVector Databases

Soft Skills

Excellent Communication SkillsCross-Disciplinary Team Collaboration

Tools & Technologies

GitHub CopilotAzure DevOpsMS TeamsSeleniumPower BI

Certifications & Qualifications

Azure AI Certification

Industry Keywords

Responsible AIAccessibility ComplianceContinuous Code DeliveryRAG PipelinesNLP

Tech Stack

Tools & technologies

AzureEntity FrameworkJavaScriptMS SQL ServerOracleReactSeleniumSQLVault.NET

About the role

Key responsibilities & impact

Collaborate with company 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, 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
Provide operational maintenance, troubleshooting, and support for applicable backend systems
Work as part of an autonomous agile team

Requirements

What you’ll need

Bachelor’s degree in a relevant field such as computer science, engineering, or similar, or a minimum of 5 years of experience required
Experience with a variety of 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 using 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 frameworks, including React JS
Experience with Microsoft SQL Server and Oracle, including stored procedures/scripts
Experience with Azure services, including 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 communication skills and experience with MS Teams
Ability to work effectively on a cross-disciplinary team
Ability to work weekends when necessary
Preferred: Dapper, RESTful API/Web API, WCAG 2.1 and 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
Experience with confidential data is a plus

Benefits

Comp & perks

Remote work arrangements will be considered
No travel expected
Equal Opportunity Employer
Opportunity to work with new and interesting technology