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Niche, senior AI platform role with specialized LLM production skills reduces applicant density.
Role requires specialized AI/LLM platform and production engineering skills, limiting cross-industry transferability.
Explicit 10+ years and mandatory production LLM, platform, and cloud experience create stringent screening filters.
Develop, ship, and operate core AI platform backend services, APIs, and orchestration components enabling production-ready AI capabilities across teams.
Own evaluation frameworks, observability, testing, reliability, and safe defaults for AI-powered systems to ensure quality and operational readiness.
Lead AI platform adoption by collaborating with product teams, defining standards, conducting architecture reviews, and mentoring engineers through hands-on technical influence.
10+ years of strong hands-on backend/platform engineering experience including recent experience building and operating production systems.
Proven track record building and shipping production-grade AI/LLM systems such as retrieval-augmented generation, agent workflows, tool-calling, or AI APIs.
Strong programming skills in Python and backend service technologies with deep understanding of API design, reliability, observability, and cost optimization.
Experience deploying and operating cloud production systems on AWS, GCP, Azure, or similar platforms.
Senior individual contributor comfortable with deep hands-on technical leadership and coding alongside teams to deliver complex AI platform capabilities.
Experienced in LLM application architecture patterns, evaluation strategies, and guiding technical standards to drive platform-wide AI production adoption.
Capable of balancing technical trade-offs across speed, reliability, safety, cost, and developer experience while influencing cross-functional stakeholders through mentorship and design governance.