Lead Software Engineer, AI Automation

Lead Software Engineer, AI Automation

Job Description

CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers.

We’ve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.

• Provide technical leadership, architectural direction, and delivery ownership for a portfolio of software products and platforms.
• Champion AI-assisted software development practices that improve developer productivity, code quality, platform reliability, and engineering efficiency.
• Leverage AI-powered observability, monitoring, anomaly detection, and automation capabilities to improve system resiliency, incident response, and customer experience.
• Identify and implement intelligent solutions that streamline workflows, reduce manual effort, and accelerate business outcomes.
• Lead the design, development, and governance of AI-powered solutions, including agents, tools, skills, copilots, and workflow automations that enhance internal operations and customer-facing products.
• Establish and enforce engineering and testing best practices related to software quality, security, scalability, observability, and operational excellence.
• Promote responsible AI adoption by ensuring solutions meet established security, privacy, compliance, governance, and quality standards.
• Apply modern quality management practices to deliver reliable, maintainable, and defect-resistant software solutions.

• Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical field from an accredited, not for profit, in-person university or college.
• Track record of commitment to prior employers.
• 7+ years of professional software engineering experience, including full-stack application development.
• Proven experience delivering and scaling successful software products throughout the software development lifecycle.
• Hands‑on experience with Type Script, C#, .NET, React, SQL Server, Elasticsearch, AWS, and modern cloud‑native development practices.
• Strong understanding of software architecture, distributed systems, API design, and scalable application development.
• Experience evaluating, adopting, or developing AI‑powered solutions and applications.
• Familiarity with large language models (LLMs), agent frameworks, AI orchestration tools, and AI‑assisted development platforms.
• Understanding of observability, monitoring, telemetry analysis, automated incident detection, and operational intelligence platforms.
• Strong written and verbal communication skills with the ability to effectively engage engineers, business stakeholders, and senior leadership.

• Exceptional problem‑solving and critical thinking skills, with a proven ability to leverage AI, technical expertise, and innovative thinking to solve complex business challenges and deliver scalable solutions.
• Experience designing and developing automated testing platforms, quality engineering frameworks, or developer productivity solutions that accelerate software delivery, improve reliability, and reduce operational overhead.
• Experience developing, deploying, or managing AI‑powered applications, copilots, agents, intelligent search experiences, or workflow automation platforms.
• Experience implementing AI‑enabled data quality solutions, including…