Principal Applied AI Engineer
Core
Architect and build production agentic AI systems, including LLM orchestration, multi-agent workflows, RAG pipelines, and human-in-the-loop experiences.
Role type
Principal Applied AI Engineer (hands-on IC with architectural leadership)
Builds
Scalable AI agents, services, and reusable platform capabilities for customer support automation
Domain
Applied AI / Customer Support Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
C# and Python, LLM orchestration, multi-agent workflows, RAG pipelines, cloud-native engineering, system design, evaluation-driven development, incident response, security pattern implementation
Preferred skills
Azure cloud platform, microservices, CI/CD, infrastructure as code, customer support engineering background, mentoring senior engineers
Technologies
C#, Python, Azure, LLMs, RAG, agent frameworks, containers, microservices
Responsibilities
Design and implement scalable AI agents and services; write and maintain production-quality code; define technical architecture and engineering standards; design evaluation frameworks for AI systems; ensure production quality and reliability; embed responsible AI principles; make consequential technical decisions; influence product and platform roadmaps; drive measurable customer and business impact; provide technical leadership and mentor engineers
Seniority
Principal, hands-on IC with strategic architecture and mentorship