Applied AI Engineer II
Core
Translate product specifications into AI service architectures, decompose business intent into agent workflows, and develop LLM-based solutions including prompt engineering, model selection, and RAG pipeline design.
Role type
Applied AI Engineer II (LLM & Agent Development)
Builds
Scalable AI service architectures, agent workflows, and LLM-based solutions
Domain
Cloud-native AI services, Azure ecosystem, Responsible AI
Deliverable
production ML models
Required skills
C#, Python, prompt engineering, RAG pipeline design, CI/CD pipelines, test-driven development, RBAC, secrets management, Azure data integration, Responsible AI practices
Preferred skills
low-code/no-code platform experience, AI solution management, programming/coding
Technologies
C#, Python, Azure, Dataverse, Power Applications
Responsibilities
Decompose business intent into agent workflows and data source integrations; Develop and iterate on LLM-based solutions; Build evaluation systems including rubrics and judge agents; Write production-quality code with test-driven development; Deploy services using CI/CD pipelines and feature flags; Integrate agents with Azure data sources; Apply Responsible AI practices; Own the end-to-end lifecycle of AI service components.
Seniority
Mid-level IC
