Principal Full-Stack Engineer (GenAI & Cloud Platforms) | Four Ways Consulting | Richardson, Texas,

Job Title: Principal Full-Stack Engineer (GenAI & Cloud Platforms) | Four Ways Consulting | Richardson, Texas, USA Recruiting Company: Four Ways Consulting Job Location: Richardson, Texas, USA (Hybrid/Onsite) Job Type: Contract Position Summary Four Ways Consulting is seeking a Principal Full-Stack Engineer to lead the design and development of next-generation enterprise applications powered by cloud-native technologies and Generative AI. This role combines deep full-stack engineering expertise with advanced AI capabilities, offering the opportunity to architect scalable platforms that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI solutions. Detailed Job Description As a Principal Full-Stack Engineer, you will serve as a senior technical leader responsible for building highly scalable enterprise applications across modern cloud environments. You will work across the entire technology stack, designing backend microservices, developing modern front-end experiences, and integrating advanced AI capabilities into production systems. The role requires expertise in Java, Python, ReactJS, cloud-native architectures, and modern software engineering practices. You will collaborate with architects, product leaders, AI specialists, and engineering teams to deliver innovative solutions that leverage LLMs, embeddings, RAG frameworks, and autonomous AI agents. This is an excellent opportunity for a seasoned engineer looking to shape enterprise-scale applications at the intersection of software engineering and artificial intelligence. Key Responsibilities Lead the architecture, design, and development of enterprise-scale full-stack applications Develop high-performance backend services using Java 17+, Python, and microservices architectures Design and implement responsive front-end applications using ReactJS and modern JavaScript frameworks Build and maintain scalable APIs, business services, and distributed systems Architect cloud-native solutions on Amazon Web Services (AWS) and Microsoft Azure Integrate Generative AI capabilities into enterprise applications using LLMs and foundation models Design and implement Retrieval-Augmented Generation (RAG) architectures and knowledge retrieval systems Develop AI-powered applications utilizing embeddings, vector databases, and Agentic AI workflows Optimize application performance, scalability, security, and reliability Collaborate with cross-functional teams to define technical roadmaps and engineering standards Mentor engineering teams and contribute to technical leadership initiatives Drive software development best practices, code quality, and DevOps excellence Required Qualifications & Skills 10+ years of professional software engineering experience Strong expertise in Java 17+ application development Advanced Python programming experience Strong front-end development experience using ReactJS Experience developing applications with Node.js Expertise in designing and implementing microservices architectures Hands-on experience with AWS and/or Microsoft Azure cloud platforms Strong knowledge of SQL and NoSQL database technologies Experience developing and deploying enterprise-scale distributed systems Strong understanding of API design, integration patterns, and system architecture Hands-on experience with Generative AI technologies and enterprise AI applications Experience working with Large Language Models (LLMs) Strong understanding of Retrieval-Augmented Generation (RAG) architectures Experience with embeddings, vector search, and AI-powered retrieval systems Knowledge of Agentic AI frameworks and autonomous workflow orchestration Excellent analytical, problem-solving, and leadership skills Nice-to-Have Skills Experience with Palantir Foundry platform Knowledge of LangChain, LlamaIndex, AutoGen, CrewAI, or similar AI orchestration frameworks Experience with Kubernetes, Docker, and container orchestration technologies Familiarity with MLOps and AI model lifecycle management Experience with vector databases such as Pinecone, Weaviate, Chroma, or Milvus Exposure to data engineering and advanced analytics platforms Recruitment Pro Tip For Principal-level engineering positions, showcase projects where you led architecture decisions, scaled enterprise platforms, and successfully implemented production-grade AI solutions. Highlight measurable outcomes such as performance improvements, cloud modernization achievements, cost reductions, platform scalability gains, or successful deployment of GenAI, RAG, and Agentic AI solutions that delivered tangible business value. #J-18808-Ljbffr Four Ways Consulting