Lead Fullstack AI Engineer (Python, Java and react) // Columbus, OH (hybrid)
OverviewWe are seeking a Lead Software Engineer (LSE) to serve as a key technical contributor responsible for designing, developing, testing, and deploying enterprise-grade software solutions.This role spans full-stack development and modern Generative AI solution design, requiring strong collaboration with business stakeholders and technology teams to deliver scalable, secure, and innovative solutions.The ideal candidate combines deep engineering expertise with a self-starter mindset and the ability to execute quickly in agile environments.Key ResponsibilitiesLead complex technical initiatives across full-stack and AI-enabled solutions Design and develop scalable microservices using Java, Spring, and Spring Boot Build modern, responsive single-page applications using React, TypeScript, and related frameworksDevelop and integrate secure APIs (REST and GraphQL)Design and implement Generative AI solutions using modern frameworks and toolsCollaborate closely with product, architecture, and DevOps teams for end-to-end deliveryApply observability practices including logging, monitoring, and tracingMentor and guide engineers while promoting best practices and engineering excellenceDrive architectural decisions aligned with enterprise standardsRequired Qualifications Strong experience developing single page applications using Python, Java, JavaScript, and TypeScript Strong experience with modern frameworks such as React.js, Next.js, Tailwind, and BootstrapStrong Experience Designing And Developing Enterprise-grade Applications Hands-on experience with Java and Spring/Spring Boot for backend development Strong understanding of API design and integration (REST, GraphQL)Experience with version control systems such as GitStrong problem-solving skills and ability to lead technical design decisionsGenerative AI ExpertiseStrong Hands-on Experience Building Generative AI Applications Experience with ADK, OpenAI Agent frameworks, LangChain, LangGraph, or similar tools Understanding of LLM concepts, prompt engineering, and Retrieval-Augmented Generation (RAG)