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Metro-based senior backend role with generalist skills and AI integration draws moderate applicant competition.
Senior backend engineering skills are moderately transferable, though AI integration raises domain specificity.
Explicit 8–16 years requirement plus mandatory Python, backend, and AI integration skills make filters highly strict.
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Design, develop, and deliver AI-powered backend application features and services integrating LLMs and AI/ML technologies.
Build scalable, reliable distributed backend systems and APIs (REST/gRPC) with high availability and performance.
Own end-to-end engineering initiatives, collaborate with AI/ML engineers, and implement observability for AI-driven components in a cloud-scale environment.
8 to 16 years of experience as a software engineer building scalable applications.
Strong proficiency in Python and at least one of Java, Go, or C++.
Experience with backend development including REST/gRPC APIs, microservices, containerization, and orchestration.
Experience integrating AI/ML capabilities (e.g., for LLMs) into production applications.
Experienced in AI platform development with hands-on integration of LLMs, RAG systems, or AI agents into backend applications.
Skilled in designing scalable distributed systems with focus on performance, availability, and observability for AI.
Comfortable working in agile teams collaborating closely with AI/ML engineers on cloud-scale AI-powered products.