Lead Engineer – Prep and Driver Applications

🔥 0 minutes ago

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

💵 $125k - $133k / year

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

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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 partners within the company to design, configure, maintain, and promote a variety of internally- and externally facing applications. • Collaborate across areas to ensure application reliability and coding to architectural standards. • Support product teams by advocating for their needs and providing constructive guidance. • Provide the glue across dependent teams to ensure technical dependencies are planned for and addressed in a fast-paced environment. • Connect with developers within your team to coach, inspire, and foster a continuous learning environment. • Build and maintain scalable full-stack applications. • Continuously monitor, test, and optimize software. • Collaborate with software engineers, the Software Development Manager (SDM), analysts, and stakeholders to deliver solutions that meet or exceed customer expectations. • Contribute as part of the team by leveraging continuous delivery methods and test-driven development to frequently deliver new functionality. • Deliver high-quality code and hold the team to the same standard through code review and mentoring. • Work to scale software to support dynamic teams in a fast-paced environment. • Be a contributor of knowledge to the team by reviewing code, sharing experience, and listening. • Champion and govern team-wide use of GitHub Copilot – establish prompting standards, review AI-generated code for security and quality, track productivity metrics, and coach developers on effective, responsible use of AI-assisted development. • Drive organizational Gen-AI adoption: build and execute a structured enablement roadmap that moves the engineering organization from awareness to competency, delivering workshops lunch-and-learns, hands-on labs, and reference implementations that make AI tooling tangible and accessible for developers at all levels. • Coach and mentor engineers on Gen-AI practices, provide 1:1 and team-level guidance on integrating AI into daily workflows including AI-assisted coding, AI-augmented code review, AI-accelerated test generation (unit, integration, regression), and effective use of AI in debugging and documentation. • Help engineers build critical evaluation skills for vetting AI-generated output. • Act as internal AI change agent. Identify adoption blockers, measure team AI maturity over time, gather feedback from engineers and stakeholders, and continuously iterate on enablement programs; evangelize Gen-AI success stories across the broader Technology Solutions and Platforms organization. • Architect and implement Generative AI features using Azure OpenAI Service, OpenAI APIs, and open-source LLMs including chat interfaces, document summarization, intelligent search, and automated content generation. • Design and maintain Retrieval-Augmented Generation (RAG) pipelines integrating vector databases (e.g., Azure AI Search, Pinecone, pgvector) with enterprise data sources to ground model outputs in authoritative content. • Lead prompt engineering efforts; craft, version, evaluate, and iteratively refine system prompts, few-shot examples, and chain-of-thought strategies to maximize accuracy and safety. • Establish and enforce responsible AI practices, bias evaluation, content filtering, PII redaction, audit logging, and compliance with LSAC data governance standards for all AI-powered features.

🎯 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 • Master's degree preferred. • Azure certifications (e.g., AZ-204, AZ-400, AZ-305) preferred. • Azure AI certifications – AI-102 (Azure AI Engineer Associate) and/or Microsoft certified, Azure OpenAI certification or equivalent demonstrated proficiency preferred. • Coursework, certifications, or verifiable project experience in machine learning fundamentals, natural language processing, or applied AI/ML (e.g., DeepLearning.AI, fast.ai, Coursera ML Specialization) preferred. • Demonstrated track record of driving Generative AI adoption across an engineering team or organization. • GitHub Copilot experience required. • AI coaching and mentoring experience required.