Lead Engineer
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Job Description
Engineer Lead building full-stack and Generative AI products for LSAC, which advances access and fairness in law school admission. Leading Copilot adoption, RAG, and responsible AI practices.
Responsibilities:
- Design, configure, maintain, and promote internally and externally facing applications
- Ensure application reliability and adherence to architectural standards
- Support product teams and address technical dependencies across teams
- Coach, inspire, mentor, 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
- Deliver functionality using continuous delivery and test-driven development
- Produce high-quality code through code review and mentoring
- Champion and govern team-wide GitHub Copilot use, including prompting standards, AI-generated code review, productivity metrics, and developer coaching
- Build and execute a Generative AI enablement roadmap with workshops, lunch-and-learns, hands-on labs, and reference implementations
- Coach engineers on AI-assisted coding, code review, test generation, debugging, documentation, and responsible AI use
- 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 using system prompts, few-shot examples, and chain-of-thought strategies
- Establish responsible AI practices including bias evaluation, content filtering, PII redaction, audit logging, and data-governance compliance
Requirements:
- 5–10 years of experience in full stack software engineering
- B.A. or B.S. degree in Computer Science, Software Engineering, or related field
- Strong knowledge of stored procedures, scripts, Cosmos DB, SQL, and Oracle
- Experience with Web Services, React JS, MS VB, and C# .NET frameworks
- Experience with object-oriented languages
- Experience with Git, code management methods, CI/CD pipelines, and Azure DevOps
- Familiarity with RESTful or web APIs
- Familiarity with WCAG 2.1 and ARIA standards
- Knowledge of Azure Functions, Azure Data Factory, Azure Storage Account, Azure Key Vault, Azure Cosmos DB, Service Bus, Azure App Service, Azure VMs, and Azure Table Storage
- Experience with Scrum, Kanban, Lean, or other agile methodologies
- Gen-AI change leadership required
- AI coaching and mentoring experience required
- Production-level GitHub Copilot proficiency in VS Code or JetBrains IDEs
- Prompt engineering and evaluation experience
- Understanding of responsible AI and AI governance
- Master's degree preferred
- Azure certifications preferred
- Azure AI certifications or equivalent demonstrated proficiency preferred
- Machine learning, natural language processing, or applied AI/ML coursework, certifications, or verifiable project experience preferred
Benefits:
- Remote work arrangement
- Standard business hours Monday-Friday, 8:30 a.m.–4:45 p.m. ET
- No travel expected
- Equal Opportunity Employer
- At-will employment
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