Principal Full Stack Engineer
Lennar Corporation2 hours ago
Miami, FL, USAStaff+
Responsibilities
- Design and own end-to-end AI features from prompt engineering and model selection through scalable APIs and responsive front-end surfaces.
- Architect multi-agent and agentic workflow systems using LangGraph, CrewAI, AutoGen, or custom orchestration layers.
- Build production RAG pipelines with chunking, embeddings, indexing, and reranking strategies.
- Integrate hosted and local LLM providers with fallback, rate-limiting, and cost controls.
- Deliver accessible, low-latency React experiences with graceful degradation.
- Build and maintain high-throughput Go or Node.js backend services for inference and orchestration.
- Define LLM evaluation frameworks, red-teaming processes, and regression suites for measuring production model quality.
- Instrument AI pipelines with tracing, latency histograms, and cost dashboards.
- Implement responsible-AI practices including hallucination mitigation, PII redaction, output guardrails, and bias monitoring.
- Partner with Engineering and Data to translate ambiguous business problems into technical roadmaps and drive AI engineering strategy.
- Author RFCs, lead design and architecture reviews, mentor senior engineers, and contribute to hiring and candidate screening.
Requirements
- 8+ years of professional software engineering experience, including at least 2 years building production AI/ML systems.
- Expert-level proficiency in Go and TypeScript/JavaScript with the ability to own the full stack from model to user interface.
- Hands-on experience shipping LLM-powered features, including prompt engineering, fine-tuning, and RLHF concepts.
- Deep understanding of transformer architectures, token economics, context-window management, and inference optimization.
- Proven experience with RAG architectures, embedding models, and semantic search at scale.
- Strong understanding of distributed systems, API design, and cloud-native infrastructure including AWS.
- Production experience with MCP, tool-use patterns, and multi-agent orchestration.
- Ability to lead through technical credibility and clear communication without formal authority.
- Preferred qualifications include contributions to open-source AI projects or published technical writing on AI engineering.
- Experience in regulated or enterprise environments with auditability, security, and compliance concerns is a plus.
Benefits
- Medical, dental, and vision insurance.
- 401(k) retirement plan with a company match up to 5%.
- Paid parental leave and an Associate Assistance Plan.
- Education assistance and adoption assistance.
- Up to three weeks of vacation annually from the date of hire, plus holiday, sick leave, and personal day policies.
- New hire referral bonus program, home purchase discounts, and Everyone’s Included Day.
Tech Stack
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