Law School Admission Council (LSAC)

Full-stack Engineer

• Collaborate with company partners to design, configure, maintain, and promote internally and externally facing applications
• Ensure application reliability and adherence to architectural standards
• Support product teams by advocating for their needs and providing constructive guidance
• Coordinate technical dependencies across teams
• Coach, inspire, and foster continuous learning among developers
• Build and maintain scalable full-stack applications
• Monitor, test, and optimize software
• Collaborate with software engineers, the Software Development Manager, analysts, and stakeholders to deliver solutions
• Use continuous delivery and test-driven development to deliver functionality frequently
• Produce high-quality code through code review and mentoring
• Scale software for dynamic teams in a fast-paced environment
• Share knowledge and review code
• Govern team-wide use of GitHub Copilot, including prompting standards, AI-generated code security and quality review, productivity metrics, and developer coaching
• Drive organizational Generative AI adoption through workshops, lunch-and-learns, hands-on labs, and reference implementations
• Coach engineers on AI-assisted coding, code review, test generation, debugging, documentation, and evaluation of AI-generated output
• Identify adoption blockers, measure AI maturity, gather feedback, and iterate enablement programs
• Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs
• Design and maintain RAG pipelines using vector databases and enterprise data sources
• Lead prompt engineering, including versioning and evaluation of prompts and examples
• Establish responsible AI practices including bias evaluation, content filtering, PII redaction, audit logging, and data governance compliance

Lead Engineer

Software Engineer

• Collaborate with company partners to design, configure, maintain, and promote internal and external applications while ensuring accessibility compliance
• Monitor, test, and optimize software for reliability and architectural standards
• Contribute to continuous code delivery using deployment tools and automated testing
• Scale and maintain applications for dynamic teams in a fast-paced environment
• Collaborate with software engineers, product managers, analysts, and stakeholders to deliver customer-focused solutions
• Use GitHub Copilot and other AI-assisted development tools for coding, testing, and debugging, following prompting and code-review standards
• Design and develop Generative AI features such as chat interfaces, document summarization, intelligent search, and automated content generation using Azure OpenAI Service and related APIs
• Build and integrate RAG pipelines with vector databases such as Azure AI Search, Pinecone, and pgvector
• Apply Responsible AI practices, including bias awareness, PII handling, and content-safety review
• Provide operational maintenance, troubleshooting, and support for applicable backend systems
• Work as part of an autonomous agile team