Lead Engineer

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $125k - $133k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Law School Admission Council (LSAC)

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1947

📚 Education

🤝 Non-profit

👥 B2C

Education • Non-profit • B2C

Law School Admission Council (LSAC) is an organization dedicated to facilitating the law school admission process. It provides resources for aspiring law students, including information on law programs, preparation for the LSAT, and guidance on applying to law schools. LSAC also supports legal education through research, diversity initiatives, and various forums for law school applicants and institutions.

📋 Description

• Collaborate with company partners to design, configure, maintain, and promote internal and external 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 customer-focused solutions • Use continuous delivery and test-driven development to frequently deliver functionality • Produce high-quality code; conduct code reviews and mentor team members • Scale software for dynamic teams in a fast-paced environment • Share technical knowledge and experience with the team • Govern team-wide GitHub Copilot use, including prompting standards, AI-generated code security and quality review, productivity metrics, and developer coaching • Build and execute a Generative AI enablement roadmap 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 AI adoption blockers, measure maturity, gather feedback, iterate enablement programs, and share success stories • Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs • Design and maintain RAG pipelines using vector databases such as Azure AI Search, Pinecone, and pgvector • Lead prompt engineering, including system prompts, few-shot examples, chain-of-thought strategies, versioning, and evaluation • Establish responsible AI practices covering 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, 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 technologies including 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, including driving adoption, designing enablement programs, measuring adoption, and iterating based on feedback • AI coaching and mentoring experience required, including AI-assisted coding, prompt design, AI-augmented testing, debugging, and responsible use of AI-generated code • Production-level GitHub Copilot proficiency in VS Code or JetBrains IDEs; experience with inline prompts, Copilot Chat, AI-generated code review standards, and GitHub Enterprise configuration • Ability to design structured prompts, implement few-shot and chain-of-thought patterns, and use evaluation frameworks such as Azure AI Evaluation, Promptflow, or Ragas • Understanding of responsible AI and AI governance, including content safety, PII handling, fairness, explainability, and Microsoft Responsible AI principles • Strong written and verbal communication skills, including experience with MS Teams • (Preferred) Experience with Selenium or comparable automated testing frameworks • Experience with agentic AI patterns preferred • Familiarity with MLOps/LLMOps, fine-tuning pipelines, model versioning, deployment monitoring, and drift detection preferred • Master's degree preferred • Azure certifications such as AZ-204, AZ-400, or AZ-305 preferred • Azure AI certifications or equivalent demonstrated proficiency preferred • Coursework, certifications, or verifiable project experience in machine learning, NLP, or applied AI/ML preferred

🏖️ Benefits

• Remote work arrangements considered; described as a remote position • Standard business hours: Monday–Friday, 8:30 a.m.–4:45 p.m. ET • No travel expected