Senior AI Engineer - MSC AI Innovation
Core
Design, build, and deploy reliable AI agents that plan, use tools/APIs, manage state, and execute multi-step workflows in production.
Role type
Senior AI Engineer (Generative AI Agents & Systems)
Builds
Production-grade AI agents, multi-step workflow systems, and evaluation harnesses for LLM applications.
Domain
Generative AI, Cloud-Native Architecture, Azure
Deliverable
production ML models
Required skills
AI agent development, evaluation methodologies, Python, C#, REST APIs, SDKs, AI system design, ML fundamentals, Generative AI concepts, cloud-native architectures, context engineering, debugging probabilistic systems, software engineering fundamentals, LLM observability, retrieval systems, grounding techniques, responsible AI practices.
Preferred skills
Experience driving innovation from ground up, independent ownership of large problem spaces, cross-disciplinary collaboration.
Technologies
Azure, LLMs, Python, C#, REST APIs, SDKs
Responsibilities
Define success criteria and build evaluation datasets/harnesses for AI features; Develop and maintain prompt, retrieval, and memory strategies with versioning; Debug AI behavior using traces and translate failures into improvements; Optimize runtime performance, token usage, and inference costs; Partner with stakeholders to define use cases and rollout plans; Implement monitoring and continuous improvement loops for AI quality metrics.
Seniority
Senior, hands-on IC