Applied AI Engineer
Core
Translate product specifications into AI service architectures, develop LLM-based solutions, and build evaluation systems for agent workflows.
Role type
Senior IC Applied AI Engineer (LLM/Agents)
Builds
Scalable AI service architectures, LLM-based agent workflows, and evaluation systems
Domain
AI/ML, Cloud-native services, Enterprise software
Deliverable
production ML models
Required skills
C#, Python, LLM-based system development, Prompt engineering, RAG pipeline design, Agent orchestration, CI/CD pipelines, Production observability, Security patterns (RBAC, Managed Identities), Azure services, System design, Data structures and algorithms
Preferred skills
Master's degree in CS/AI, 4+ years C#/Python experience, Multi-agent communication protocols, Vector retrieval systems, Container orchestration, Microservices architecture
Technologies
C#, Python, Azure OpenAI, Azure AI Foundry, Azure Functions, Cosmos DB, CI/CD, Docker/Kubernetes (implied by container orchestration)
Responsibilities
Decompose business intent into agent workflows and data integrations, Develop and iterate on LLM-based solutions, Build evaluation systems (rubrics, golden datasets, judge agents), Write production-quality code with test-driven development, Deploy services using CI/CD and feature flags, Integrate agents with Azure data sources, Apply Responsible AI practices, Own end-to-end lifecycle of AI service components
Seniority
Senior, hands-on IC
