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Metro location, broad AI/cloud skill requirements, and recognizable employer increase applicant competition.
Requires specialized AI-first cloud architecture and vector/RAG expertise, limiting cross-industry transferability.
Explicit 8+ years, 3+ years AI tools, cloud-native and security requirements make filters strict.
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Lead architecture and development of AI-powered, distributed, enterprise-grade software systems focusing on performance, security, and scalability.
Design, build, and maintain services using Python, Java, and Node.js, integrating AI tools for code generation, prototyping, and developer productivity enhancements.
Drive AI integration into CI/CD pipelines and implement monitoring and performance optimization to ensure high-quality deployments.
Minimum 8 years software engineering experience with Python, Java, and/or Node.js (full-stack or backend).
At least 3 years experience using AI tools for development or documentation.
Experience with cloud-native development, containerized deployment (Docker, Kubernetes), and AI integration patterns (vector stores, prompt engineering, RAG pipelines).
Work Experience Required: 8+ years software engineering.
Experienced in architecting AI-first, cloud-native, scalable, and secure distributed systems in Agile or remote environments.
Proficient in building AI copilots or developer tools using frameworks like OpenAI/Claude SDKs or LangChain.
Adopts AI-first approach to software development, leveraging AI tools as productivity multipliers for design, automation, and cloud architecture optimization.