Lead Engineer

🕒 Setembro 21

🔔 Pennsylvania – Remoto

🔔 Pennsylvania – Remote

💵 $125.000 - $133.000 / ano

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

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Law School Admission Council (LSAC)

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 1947

📚 Educação

🤝 Sem Fins Lucrativos

👥 B2C

Education • Non-profit • B2C

O Law School Admission Council (LSAC) é uma organização dedicada a facilitar o processo de admissão em faculdades de direito. Oferece recursos para aspirantes a estudantes de direito, incluindo informações sobre programas de direito, preparação para o LSAT e orientações para se candidatar às faculdades de direito. O LSAC também apoia a educação jurídica por meio de pesquisas, iniciativas de diversidade e diversos fóruns para candidatos e instituições de faculdades de direito.

Descrição

• 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

🎯 Requisitos

• 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, including Web Forms, Windows Forms, .NET Web API, Entity Framework 6.4+, MVC, and SPA • 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 • Strong written and verbal communication skills, with experience using MS Teams • Gen-AI change leadership required, including a demonstrated track record of driving Generative AI adoption • AI coaching and mentoring experience required • Production-level GitHub Copilot experience in VS Code or JetBrains IDEs • Prompt engineering and evaluation experience, including structured prompts, few-shot and chain-of-thought patterns, and evaluation frameworks • Understanding of responsible AI and AI governance, including content safety, PII handling, fairness, explainability, and Microsoft Responsible AI principles • Experience with relational and unstructured data repositories • Master's degree preferred • Azure certifications preferred • Azure AI certifications or equivalent demonstrated proficiency preferred • Coursework, certifications, or verifiable project experience in machine learning, NLP, or applied AI/ML preferred • Experience with Selenium or comparable automated testing frameworks preferred • Experience with agentic AI patterns preferred • Familiarity with MLOps/LLMOps practices preferred

🏖️ Benefícios

• Remote work arrangement • No travel expected • Standard Monday-Friday business hours, 8:30 a.m.–4:45 p.m. ET • Equal Opportunity Employer