Senior Full Stack AI Engineer

1. AI & LLM Engineering (25%) Experience leveraging Large Language Models (LLMs) to solve business problemsStrong understanding of prompt engineering, prompt management, and GenAI solution designExperience working with GenAI developer tools such as GitHub Copilot, Gemini, and ClaudeFamiliarity with AI strategy, implementation, and scaling AI-driven solutions2. Backend & Full Stack Engineering (25%) Strong backend engineering background, as the role is heavily backend-focusedHands-on experience with programming languages such as Java, Node.js, and PythonFamiliarity with modern web application architecturesExpertise in API design, development, and integration3. Data Platform Engineering (25%) Strong data engineering experienceExperience with data pipelines, data stores, orchestration frameworks, and distributed systemsUnderstanding of machine learning workflows and AI-enabled applicationsExperience deploying and scaling AI/ML solutions in production environments4. Cloud Architecture, Scale & Security (25%) Cloud-native development experienceExperience with Kubernetes and containerized application deploymentExperience with deployment patterns and scalable system designUnderstanding of secure, enterprise-grade architectureThe Skills You Bring These bullet points were taken out: Deep expertise building AI-powered applications utilizing large language models (LLMs), agent frameworks, and orchestration platforms (e.g., OpenAI, Claude, Bedrock, LangChain, LangGraph).Experience developing Retrieval-Augmented Generation (RAG) solutions, semantic search capabilities, and enterprise knowledge systems leveraging vector databases and retrieval frameworks.And the bolded below is the new/replacement Bachelor's degree or equivalent experience with 8+ years of software engineering experience, or a Master's degree with 6+ years of experience.Proven experience designing and delivering scalable, production-grade software solutions and distributed systems.Strong experience using LLMs and Generative AI technologies to solve real business challenges.Strong full-stack engineering background with modern languages and frameworks such as Python, TypeScript, Node.js, APIs, React, and Next.js.Hands-on experience deploying and scaling applications within cloud environments such as AWS, Azure, or Google Cloud.Experience with modern platform engineering and DevOps practices, including containers, Kubernetes, Infrastructure-as-Code, and cloud-native architectures.Strong understanding of software architecture, design patterns, security, and reliability principles for enterprise-scale applications.Excellent problem-solving skills, sound technical judgment, and a passion for building innovative solutions.Ability to collaborate effectively across engineering, data, product, and business teams while driving initiatives from concept to production.