Software Engineer

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.

About the role

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. This position will be responsible for operational maintenance, troubleshooting, and support of applicable backend systems. We 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. 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.

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.
• Contribute 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.

Requirements

• Excellent time management, prioritization, attention to detail, and organization skills.
• Values the success of the team over personal objectives.
• Experience working in a high-precision environment to ensure the highest accuracy of work products.
• Ability to listen to stakeholders and form solutions.
• Comfortable working in an agile environment and challenging yourself and your team to improve ways of working.
• Excellent communication skills, both written and verbal, as well as experience with MS Teams.
• Proven ability as a servant leader.
• Experience working with confidential data is a plus.
• Must be able to ensure confidentiality of products and data.
• Must be able to work effectively on a cross-disciplinary team.
• 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.

Qualifications

• Bachelor’s degree in a relevant field such as computer science, engineering, or similar, or a minimum of 5 years of experience.
• 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.
• Experience in the following areas is required: React, MS VB, and C# .NET frameworks, including Web Forms and WinForms.

Pay

$108,000 to $115,000, depending on experience.