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Generalist fullstack title and likely metro location, but niche AI requirements limit applicant pool.
Requires AI/LLM production experience and cloud microservices, making cross-industry transfer limited.
Explicit 7-8 years requirement plus mandatory Python, JavaScript, cloud, and AI production experience.
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Lead design, development, and maintenance of scalable cloud applications using Python and JavaScript/TypeScript.
Architect and implement AI-native applications integrating Large Language Models, RAG, and AI workflows for business automation and developer productivity.
Drive engineering best practices, mentor engineers, and lead teams in adopting AI-assisted development on AWS or Azure platforms.
7-8 years of relevant work experience as Sr. Full Stack Engineer or Technical Lead.
Strong hands-on experience in Python and good experience with JavaScript/TypeScript, including modern application architectures.
Practical knowledge of LLMs, prompt engineering, RAG, vector search, AI model integration, and AI coding assistants.
Experience with AWS or Azure cloud platforms and implementing CI/CD, automated testing, code quality, and application observability.
Experienced in designing distributed systems, microservices, REST APIs with integration of AI-native features at scale.
Able to lead technical teams while driving adoption of AI-first development practices and AI orchestration technologies.
Familiar with cloud-native deployment, secure development, and AI agent orchestration concepts such as Model Context Protocol.