2 дня назад
Lead Full Stack AI Engineer (Generative AI)
78$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Full Stack AI Engineer (Generative AI): Building multi-agent AI orchestration platforms, intelligent automation solutions, and enterprise full-stack applications with an accent on scalable architecture, security, reliability, and performance. Focus on designing agent-based workflows, deploying reusable AI capabilities, and integrating Generative AI into enterprise applications.
Location: Must be located in the Columbus, Ohio area and accommodate onsite interview and work requirements as needed.
Pay rate: $78/hour on W-2
Company
provides staffing and technology professionals for enterprise projects.
What you will do
- Build and enhance multi-agent AI orchestration platforms and intelligent automation frameworks.
- Develop enterprise-grade full-stack applications supporting AI-powered experiences and solutions.
- Design and implement Generative AI solutions with modern agent frameworks and technologies.
- Create agent-based workflows and reusable AI capabilities for enterprise use cases.
- Partner with product, architecture, and engineering teams to deliver AI capabilities.
- Drive scalability, security, reliability, performance, productivity, and operational efficiency across solutions.
Requirements
- 7+ years of experience developing enterprise web applications.
- Strong full-stack development experience with Python, Java, JavaScript, and TypeScript.
- Front-end development experience with React, Next.js, Tailwind CSS, and Bootstrap.
- 2+ years of hands-on experience designing and building Generative AI applications.
- Experience with AI agent frameworks such as ADK, OpenAI Agent Frameworks, LangChain, LangGraph, or similar technologies.
- 5+ years of experience designing scalable, secure, and high-performance enterprise applications, plus strong architecture, collaboration, analytical, and problem-solving skills.
Nice to have
- Experience with public cloud platforms and deploying AI solutions in cloud environments.
- Experience with cloud-native architectures, CI/CD pipelines, and modern software delivery practices.
- Experience with enterprise integration patterns and integrating AI capabilities into enterprise applications.
Culture & Benefits
- Work in a fast-paced Agile environment with changing priorities.
- Operate as a self-starter with minimal oversight.
- Contribute to technical excellence across enterprise AI solutions.
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