Lead Engineer

Law School Admission Council (LSAC)

. Design, configure, maintain, and promote internally and externally facing applications .

Posted 10/23/2026full-timeRemote • Pennsylvania • United StatesSenior💰 $125,000 - $133,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in full-stack software engineering with a strong focus on Generative AI implementation, application reliability, and adherence to architectural standards. Proficient in coaching and mentoring developers while fostering a culture of continuous learning and responsible AI practices.

Highest-signal resume keywords

Full Stack Software EngineeringGenerative AI ImplementationAzure OpenAI ServiceGitHub Copilot ProficiencyAI Coaching and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Stored ProceduresCosmos DBSQLC# .NET FrameworkReact JSObject-Oriented LanguagesRESTful APIsPrompt EngineeringContinuous DeliveryTest-Driven Development

Soft Skills

CoachingMentoringCollaborationInspirationContinuous Learning

Tools & Technologies

Azure DevOpsAzure FunctionsAzure Data FactoryAzure Storage AccountAzure Key VaultAzure App ServiceAzure VMsAzure Table StorageVS CodeJetBrains IDEs

Certifications & Qualifications

Azure CertificationsAzure AI Certifications

Industry Keywords

Agile MethodologiesScrumKanbanLeanAI GovernanceBias EvaluationContent FilteringData-Governance ComplianceMachine LearningNatural Language Processing

Tech Stack

Tools & technologies

AzureJavaScriptOracleReactSQLVault.NET

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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