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 Architecture)
Builds
Scalable AI agents, services, and reusable platform capabilities for customer support automation.
Domain
Enterprise Software Engineering + Applied AI (LLMs, Agents, RAG)
Deliverable
production ML models
Required skills
C#, Python, Enterprise Architecture, LLM Orchestration, Multi-agent Workflows, RAG, Cloud-Native Engineering, System Design, Evaluation Frameworks, Incident Response, Security Patterns (Prompt Injection Defense), Mentoring
Preferred skills
Customer Support Engineering, Azure, Microservices, CI/CD, Infrastructure as Code
Technologies
C#, Python, Azure, LLMs, RAG, Containers, Microservices
Responsibilities
Design and implement scalable AI agents and services; Write, review, and maintain production-quality C# and Python code; Translate ambiguous customer support scenarios into clear technical requirements; Define technical architecture and engineering standards; Design and implement evaluation frameworks; Ensure AI services meet standards for correctness, availability, latency, scalability, cost, and safety; Diagnose complex production issues and lead incident response; Embed responsible AI principles and security patterns; Make consequential technical decisions on models and frameworks; Partner with product managers and researchers to shape technical strategy; Mentor engineers in system design and applied AI.
Seniority
Principal, Strategy & Mentorship
