Applied AI Engineer
Core
Build and operate core AI infrastructure, runtime architecture, and agent orchestration for mission-critical customer workflows.
Role type
Senior Applied AI Engineer (AI Infrastructure & Orchestration)
Builds
Production AI runtime, tool-calling capabilities, RAG systems, and evaluation frameworks.
Domain
Artificial Intelligence / Machine Learning / Enterprise Software
Deliverable
production ML models
Required skills
LLM/ML production deployment, AI runtime architecture, agent orchestration, RAG implementation, AI evaluation frameworks, cost/latency optimization, safety controls, Python, C#/.NET
Preferred skills
Production-grade AI agents, model routing strategies, LLM-as-a-judge evaluation, model fine-tuning/distillation, system/platform architecture, enterprise-scale software operations
Responsibilities
Build and operate AI runtime and orchestration infrastructure; Design model selection and routing strategies; Implement RAG and grounding systems; Develop evaluation harnesses and quality benchmarks; Establish safety controls and guardrails; Own production AI behavior reliability and cost; Collaborate on agent vs. alternative solution decisions; Partner with customers to validate outcomes; Instrument systems for impact measurement; Integrate automated QA into pipelines; Establish engineering standards and mentor team members.
