





Senior but popular backend+AI role at a recognizable firm creates moderate applicant competition.
Backend and AI integration skills transfer across industries but favor candidates with AI product experience.
Explicit 8–16 years and mandatory Python/backend plus AI integration create strict screening filters.
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Design, develop, and deliver AI-powered backend application features and services using Python and other languages.
Build and integrate AI capabilities such as LLM-based features and automation workflows into scalable, high-availability backend systems and APIs.
Own end-to-end engineering initiatives within a cloud-scale environment, collaborating with AI/ML engineers and participating in system design and performance improvements.
8 to 16 years of experience as a Software Engineer in building scalable applications.
Strong proficiency in Python and at least one additional language from Java, Go, or C++.
Experience developing backend systems, REST/gRPC APIs, and microservices architectures with AI/ML integration.
Experience with containerization and orchestration technologies in Agile environments.
Experienced in integrating LLMs, RAG systems, or AI agents into production-grade applications.
Skilled in building scalable distributed systems with observability and monitoring for AI-driven services.
Strong system design and collaborative skills suitable for agile, high-ownership engineering teams working on AI platform products.