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.
• 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

Education and Experience

• 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.
• Experience in the following areas are required:
  • 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
• Experience with any of the following disciplines is a plus:
  • 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)
• Knowledge of modern development practices and the development lifecycle with experience using Scrum, Kanban, Lean or other agile methodologies.

Supervisory Responsibilities

This role does not have people management responsibilities.

Position Type

The LSAC standard business hours are Monday-Friday, 8:30 a.m. - 4:45 p.m. ET. While these are the standard office hours for LSAC, as an exempt employee, the employee will be expected to work the hours necessary to satisfactorily complete their assignments in a responsible and professional manner.

Work Environment

This job operates in a remote and professional office environment. Whether remote or in-office, this role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Travel Requirements

There is no travel expected for this position.

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee must regularly write, read, and communicate effectively.

Special Conditions or Requirements

The ability to work weekends may be necessary.

Additional Information:

Please note that this job description may not contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Job responsibilities may change at any time with or without notice.

Except as otherwise provided by law, all terms of employment are subject on an at-will basis and can change at any time.

At LSAC we foster a culture based on our stated values and actively seek to broaden our pipeline of current and future leaders. We are committed to attracting, retaining, and developing individuals who have a passion for the work they do and the mission of LSAC. We encourage all qualified individuals to apply. We recognize that experience comes from a variety of places and know that job applicants will possess many, but not necessarily all, of the qualities listed in the job description. While no one candidate will embody every single quality, the successful candidate will exemplify a robust combination of the skills and competencies listed to excel in the position. LSAC is an Equal Opportunity Employer and welcomes applications from individuals from all identities and backgrounds.