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Strong Tier-1 brand, metro location, and a broadly appealing backend/AI role increase applicant competition significantly.
Backend and AI-integrated engineering skills are transferable but require domain-specific AI and infrastructure experience.
Requires demonstrated AI-first engineering, prompt engineering, and backend infrastructure expertise, so screening is moderately strict.
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Build and ship high-quality, production-grade software leveraging AI as a core part of the development workflow.
Design and orchestrate complex AI-integrated systems to enhance human workflows, driving efficiency and innovation at scale.
Contribute to building and maintaining system context documentation for AI operations and critically evaluate code quality, security, and performance.
Demonstrated AI-first engineering approach with experience using AI development tools like Claude Code, GitHub Copilot, Codex, Cursor, etc.
Advanced prompt engineering skills for creating precise, structured prompts and cultivating system context for reliable AI outputs.
Experience Required: Not explicitly mentioned in the JD.
Preferred experience with Big-Data/ML, S3, streaming technologies (Kafka), Elastic Search, Terraform, Kubernetes, Docker is listed but not mandatory.
Senior-level software engineer with hands-on experience integrating AI tools deeply into software development workflows.
Skilled in managing complex system designs and ensuring AI systems operate securely, accurately, and at scale within large environments.
Experienced in fast-paced, multinational tech settings and comfortable working autonomously in hybrid work models.