[Hiring] Software Engineer @Law School Admission Council

Role Description

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 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.

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.

Qualifications

• 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)

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 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.
• AI use to generate and/or support production code (GitHub CoPilot preferred).
• Awareness of Responsible AI principles, including bias, PII handling, and content safety, in AI-assisted development.

Benefits

• Pay Rate: $108,000 to $115,000, depending on experience.

Company Description

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. LSAC is an Equal Opportunity Employer and welcomes applications from individuals from all identities and backgrounds.