Full Stack AI Engineer

Benefits: 401(k) Competitive salary Full Stack AI Engineer Introduction: We are seeking a highly motivated Full Stack AI Engineer who can design, build, and scale production-grade AI applications from concept to deployment. You will work directly with product leadership and customers to create intelligent systems leveraging LLMs, AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and modern cloud-native architectures. Responsibilities: AI & Agentic Systems Design and develop AI-powered applications using OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source models. Build multi-agent and agentic workflows using LangGraph, LangChain, Semantic Kernel, CrewAI, or equivalent frameworks. Develop Retrieval-Augmented Generation (RAG) solutions using embeddings, vector databases, document indexing, and knowledge retrieval systems. Integrate AI models with enterprise systems, APIs, SaaS platforms, and business workflows. Design prompt orchestration, evaluation frameworks, guardrails, observability, and AI governance controls. Full Stack Development Build scalable frontend applications using React, Next.js, TypeScript, and modern UI frameworks. Develop backend services, APIs, microservices, and event-driven architectures using Python (FastAPI), Node.js, or .NET. Design and optimize SQL and NoSQL databases. Implement authentication, authorization, and secure enterprise-grade integrations. Create reusable APIs and SDKs for AI capabilities across multiple products. Cloud & Platform Engineering Deploy AI applications on Azure, AWS, or Google Cloud Platform. Build containerized services using Docker and Kubernetes. Implement CI/CD pipelines, infrastructure-as-code, monitoring, and observability. Optimize AI infrastructure for scalability, performance, and cost efficiency. Product & Innovation Partner with product managers and customers to translate business challenges into AI solutions. Rapidly prototype and productionize AI use cases. Evaluate emerging AI technologies and recommend adoption strategies. Contribute to AI platform roadmap and innovation initiatives. Requirements: Required Qualifications: Bachelor''s degree in Computer Science, Engineering, or related field. 5+ years of full-stack software development experience. Strong proficiency in:  Python TypeScript / JavaScript React / Next.js Node.js or FastAPI Experience building REST APIs and microservices. Hands-on experience with:  OpenAI / Azure OpenAI APIs RAG architectures Vector databases (Pinecone, Weaviate, FAISS, Chroma, Azure AI Search) LangChain, LangGraph, Semantic Kernel, or similar frameworks Experience with Docker, Kubernetes, and cloud-native architectures. Strong understanding of software engineering best practices, testing, CI/CD, and Agile development. This is a remote position.