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Senior principal LLM platform role with niche specialization reduces candidate competition.
High due to specialized LLM platform, production AI engineering, and platform reliability requirements limiting transferability.
10+ years and proven production LLM/platform experience create strict mandatory filters.
Build and operate core AI platform services and reusable capabilities such as chat APIs, RAG, classification, summarization, and orchestration to enable product teams to adopt AI features with minimal friction.
Own evaluation systems and production readiness including AI observability, testing, monitoring, safety handling, and cost optimization to ensure scalable, reliable, and safe AI deployments.
Lead hands-on technical influence by mentoring engineers, driving standards, conducting architecture reviews, and collaborating across teams to promote consistent AI engineering practices and platform adoption.
10+ years hands-on engineering experience with strong backend/platform depth and recent experience building/operating production backend/platform systems.
Proven experience shipping production-grade AI/LLM systems such as RAG, agent workflows, tool-calling systems, or AI-powered product capabilities.
Strong programming skills in Python and/or backend service stacks; deep understanding of API design, SDKs, reliability, observability, performance, and cost management.
Experience deploying and operating cloud-based production systems on AWS, GCP, Azure or equivalent.
Experienced individual contributor comfortable with deep technical ownership and writing production code for complex AI platforms rather than purely architectural or managerial roles.
Strong practical understanding of LLM application architectures including context engineering, retrieval patterns, orchestration, fallback handling, and evaluation strategies.
Proven ability to influence cross-functional teams through technical leadership via design reviews, standards creation, mentorship, and documentation in an engineering-driven environment.