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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Full Stack Engineer - **Company:** Lennar Associates - **Location:** Miami, FL, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Distributed Systems, Fault Tolerance, Design of User Interfaces, Human-Computer Interaction, Language Modeling, Node.Js, Open Source Technology, Search Technologies, Software Engineering, Systems Integration, TypeScript, Cloud Platform System, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Prompt Engineering, Low Latency, Machine Learning Operations, Api Design, Golang, Programming Languages - **Published:** September 3, 2026 - **Apply:** https://www.careerbuilder.com/job-details/principal-full-stack-engineer-miami-fl--9ffc8a31-56b4-4c9f-aa94-9c67a2370050 ## About the Role * 8+ years of professional software engineering with at least 2 years building production AI / ML systems. * Expert-level proficiency in Go and TypeScript / JavaScript; comfortable owning the full stack from model to UI. * Hands-on experience designing and 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 track record with RAG architectures, embedding models, and semantic search at scale. * Strong grasp of distributed systems, API design, and cloud-native infrastructure (AWS).. * Experience with MCP (Model Context Protocol), tool-use patterns, and multi-agent orchestration in production. * Demonstrated ability to lead without formal authority, influencing direction through technical credibility and clear communication. * Contributions to open-source AI projects or published technical writing on AI engineering topics preferred. * Experience in regulated or enterprise environments where auditability, security, and compliance are first-class concerns is a plus., Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Candidate Screening, Cloud Computing, Code Reviews, Communication Skills, Concrete, Cost Control, Customer Support/Service, Distributed Computing, Economics, Employment Law, Fortune 500 Customers, Go Programming Language (Golang), Health Insurance, High Throughput, JavaScript, Leadership, LinkedIn, MCP - Microsoft Certified Professional, Mentoring, Modeling Languages, Node.js, Open Source, Quality Metrics, Reporting Dashboards, Residential Construction, Semantic Search, Social Media, Software Design, Software Engineering, Technical Publications, Traffic Shaping, User Interface/Experience (UI/UX) ## Description * Lead the architecture and delivery of production-grade AI-powered systems across the full stack. * Operate at the intersection of applied AI research and software craftsmanship - designing agentic workflows, integrating large language models, and establishing engineering practices at scale. * Serve as the technical standard-bearer for how the organization builds, evaluates, and operates AI features. * Partner with Engineering and Data to translate ambiguous business problems into concrete technical roadmaps. * Drive AI engineering strategy across the stack, authoring RFCs and leading design reviews that raise the bar for the entire engineering org. What You'll Do * Design and own end-to-end AI features: from prompt engineering and model selection through to scalable APIs and responsive front-end surfaces. * Architect multi-agent and agentic workflow systems using frameworks such as LangGraph, CrewAI, AutoGen, or custom orchestration layers. * Build retrieval-augmented generation (RAG) pipelines with production-grade chunking, embedding, indexing, and reranking strategies. * Integrate LLM providers (OpenAI, Anthropic, Gemini, local models via Ollama / vLLM) with robust fallback, rate-limiting, and cost controls. * Deliver polished, accessible front-end experiences in React that expose AI capabilities with low latency and graceful degradation. * Build and maintain high-throughput back-end services in Node.js, or Go serving as the inference and orchestration layer. * Define and implement LLM evaluation frameworks evals, red-teaming, regression suites to continuously measure model quality in production. * Instrument AI pipelines with tracing, latency histograms, and cost dashboards using tools such as LangSmith, Helicone, or Grafana.. * Embed responsible-AI practices: hallucination mitigation, PII redaction, output guardrails, and bias monitoring into every feature. * Mentor senior engineers, conduct rigorous code and architecture reviews, and contribute to hiring by defining role expectations and screening candidates. ## Related Videos - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [5 steps for running a Kubernetes environment at scale](https://www.wearedevelopers.com/videos/88-5-steps-for-running-a-kubernetes-environment-at-scale) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [All your telemetry data from any source in one place](https://www.wearedevelopers.com/videos/57-all-your-telemetry-data-from-any-source-in-one-place) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)