Software Engineer

Law School Admission Council•Newtown Township, PA

1d•$108,000 - $115,000•Hybrid

About The Position

LSAC’s mission is to advance law and justice by promoting access, equity, and fairness in law school admission, to broaden the pathway into legal education, and to support law schools, law students, and the legal education community. Pay Rate: $108,000 to $115,000, depending on experience. We are seeking a full stack engineer to join our team. You will work as part of an autonomous agile team to develop features and applications to meet the needs of your product area. We are looking for a candidate with deep understanding of engineering best practices and a strong agile mindset. In addition, this position will be responsible for operational maintenance, troubleshooting and support of applicable backend systems. We will rely heavily on web-based services, and you will have the opportunity to work with new and interesting technology. This role also contributes to LSAC’s growing use of Generative AI. LSAC currently uses GitHub Copilot as its primary AI-assisted development tool, and you will use it and comparable AI-assisted development tools as part of your daily workflow, and may help build features that incorporate Azure OpenAI Service, large language models (LLMs), and Retrieval-Augmented Generation (RAG) to enhance LSAC products and internal tooling, always in line with Responsible AI practices.

Requirements

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.
Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies.
React
MS VB and C# .NET frameworks, including Web Forms and Windows Forms, .NET , .NET WEB API, Entity Framework 6.4, MVC Pattern, SPA Framework
JavaScript and frameworks (React JS)
Microsoft SQL Server and Oracle. Stored Procedures/Scripts
Azure stack: Azure functions, Azure Data Factory, Azure Storage Account, Azure Key Vault, Azure Cosmos db, Service bus, Azure App Service, Azure VMs, Azure Table Storage, etc.
Azure DevOps CI/CD
Working knowledge of GitHub Copilot (LSAC’s current AI-assisted development tool) or comparable AI coding assistants, including writing effective prompts and reviewing AI-generated code for quality and security.
Familiarity with Generative AI / LLM concepts, including Azure OpenAI Service, prompt engineering, Retrieval-Augmented Generation (RAG), and vector databases.
Awareness of Responsible AI principles, including bias, PII handling, and content safety, in AI-assisted development.

Nice To Haves

Experience working with confidential data a plus. Must be able to ensure confidentiality of products and data.
Dapper
RESTful API, Web API
Web Content Accessibility Guidelines (WCAG) 2.1 and ARIA standards
Power BI
Selenium or comparable automated testing frameworks
(Preferred) Azure AI certification (AI-102 Azure AI Engineer Associate) or Microsoft Certified: Azure OpenAI certification, or equivalent demonstrated proficiency
(Preferred) Coursework, certifications, or project experience in machine learning fundamentals, natural language processing, or applied AI/ML (e.g., DeepLearning.AI, fast.ai, Coursera ML Specialization)

Responsibilities

Collaborate with partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications, while ensuring compliance with accessibility standards
Continuously monitor, test, and optimize software while ensuring application reliability and coding to architectural standards.
Contributes as part of the team to continuous code delivery with deployment tools and automated testing.
Scale software to support dynamic teams in a fast-paced environment.
Build and maintain scalable applications.
Collaborate with software engineers, product managers, analysts, and stakeholders to deliver solutions that meet customer expectations.
Use GitHub Copilot and other AI-assisted development tools to accelerate coding, testing, and debugging, following team prompting standards and code-review practices for AI-generated code.
Contribute to the design and development of Generative AI features, such as chat interfaces, document summarization, intelligent search, and automated content generation, using Azure OpenAI Service and related APIs.
Help build and integrate Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Azure AI Search, Pinecone, pgvector) to ground AI outputs in enterprise data.
Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review, when building or maintaining AI-powered features.