Principal Full Stack Engineer

Principal Full Stack Engineer We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career.

Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future We are looking for a Principal Engineer who will fundamentally change how our engineering teams work. Transforming the internal culture, workflows, and platform of our engineering organization to be AI-native.

You will be the person who embeds with teams, rolls up your sleeves, and shows engineers firsthand how tools like Claude Code, ChatGPT Codex, and Git Hub Copilot paired with agentic CI/CD patterns can compress days of work into hours. You will simultaneously build the platform scaffolding that makes this transformation repeatable, safe, and scalable across the organization. This is a builder and coach role in equal measure and the ideal candidate thrives in both.

* A career with purpose.
* A career built on making dreams come true.
* A career built on building zero defect homes, cost management, and adherence to schedules. Your Responsibilities on the Team
* Embed directly with engineering teams to drive hands-on adoption of AI coding tools - Claude Code, ChatGPT Codex, Git Hub Copilot going beyond demos to changing actual daily habits: AI-assisted code review, context-aware test generation, and agent-driven refactoring workflows.
* Design and run structured transformation programs: onboarding sprints, office hours, lunch-and-learns, and pairing sessions that meet engineers where they are.
* Build and maintain the internal AI transformation playbook - documenting CLAUDE.md conventions, MCP server configurations, agent tool definitions, prompt libraries, and workflow templates that teams can self-serve and adapt.
* Partner with engineering managers and tech leads to identify the highest-leverage transformation opportunities within each team's existing workflows.
* Redesign CI/CD pipelines to incorporate agentic steps: automated code review agents, AI-driven test generation, PR summarization, release note automation, and self-healing build workflows.
* Build the internal platform layer that makes AI tooling safe and repeatable at scale - guardrails, cost controls, audit logging, prompt governance, and approval workflows for agentic actions.
* Define and implement agentic patterns for platform engineering:
IaC agents that auto-remediate drift, incident response agents triggered by Coralogix/Grafana alerts, Claude Code sub-agents for deployment validation, and multi-step orchestration across Git Hub Actions and internal tooling.
* Architect integrations between AI tooling and the existing engineering ecosystem:
Git Hub, Jira, Slack, internal developer portal, observability platforms, and secrets/identity systems - ensuring agents operate within defined permission boundaries.
* Own the technical strategy for AI tooling adoption - model selection across frontier providers (Anthropic, OpenAI, open-source), build vs. buy decisions for agentic infrastructure, token cost management, context window optimization, and responsible deployment practices across the engineering org.
* Establish evaluation frameworks for agentic workflows: LLM-as-judge harnesses, task completion rate benchmarks, hallucination and tool-misuse detection, latency/cost tradeoff analysis, and DORA metric correlation to AI adoption milestones.
* Mentor and elevate senior engineers by modeling AI-native engineering practices - through design reviews, documentation, pairing, and shared tooling.
* Contribute to cross-functional AI governance conversations, ensuring our agentic platform practices align with security, compliance, and organizational risk tolerance. Requirements
* 8+ years of engineering experience with strong foundations in backend services, APIs, cloud-native infrastructure, and containerized deployments.
* Deep CI/CD expertise - Git Hub Actions, ArgoCD with hands-on experience redesigning pipelines to incorporate AI-driven steps, agent checkpoints, and human-in-the-loop approval gates.
* Experience in platform engineering, internal developer platforms (IDPs) - you understand that engineers are your customers.
* Fluent in GoLang and Type Script/JavaScript; comfortable writing the glue code, automation scripts, and workflow tooling that makes platforms hum.
* Direct, hands-on experience with AI coding tools in production engineering contexts - Claude Code, Git Hub Copilot, or equivalent - not just personal use, but driving adoption with others.
* Practical knowledge of LLM integration patterns: structured prompt…