Lead Engineer

Law School Admission Council (LSAC)

. Collaborate with company partners to design, configure, maintain, and promote internally and externally facing applications .

Posted 9/21/2026full-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 adoption, application reliability, and architectural standards. Proficient in coaching and mentoring developers while fostering a culture of continuous learning and collaboration.

Highest-signal resume keywords

Full Stack Software EngineeringGenerative AI AdoptionAzure OpenAI ServiceCI/CD PipelinesCode Review and Mentoring

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Stored ProceduresCosmos DBSQLC# .NET FrameworksReact JSObject-Oriented LanguagesRESTful APIsPrompt EngineeringAutomated Testing FrameworksMLOps Practices

Soft Skills

Strong Communication SkillsCoaching and MentoringCollaborationProblem-SolvingLeadership

Tools & Technologies

GitHub CopilotAzure DevOpsMS TeamsAzure FunctionsAzure Data FactoryAzure Storage AccountAzure Key VaultAzure App ServiceSeleniumJetBrains IDEs

Certifications & Qualifications

Azure CertificationsAzure AI CertificationsMachine Learning Certifications

Industry Keywords

Agile MethodologiesWCAG 2.1ARIA StandardsResponsible AIData Governance Compliance

Tech Stack

Tools & technologies

AzureEntity FrameworkJavaScriptOracleReactSeleniumSQLVault.NET

About the role

Key responsibilities & impact

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

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, 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

Benefits

Comp & perks

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