Software Engineer

Overview 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. Responsibilities Essential Job Functions Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of this position. The individual employed in this position will be required to: - 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. Competencies - 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 highest accuracy of work products. - Ability to listen to stakeholders and form solutions. - Comfortable working in an agile environment and are comfortable challenging yourself and your team to improve their 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 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.