Applied AI Engineer & AI Enablement

Full-time Other-General

Requirements

• We're looking for someone at the intersection of AI engineering and business understanding, who can turn a department's problems into working AI solutions
• AI & technical foundation: Strong Python skills and practical experience across the AI/ML spectrum: forecasting, classification, regression, LLMs, and agentic frameworks (LangChain, LlamaIndex, CrewAI, or equivalent). Comfortable owning solutions in production. Familiarity with Docker/K8s or MLOps tooling
• Engineering fundamentals: Working knowledge of cloud platforms (AWS, GCP, or Azure), REST APIs (FastAPI or similar), and SQL for data access and integration
• Business & requirements acumen: Able to sit with a non-technical team, ask the right questions, identify what actually matters, and translate messy real-world context into a clear implementation plan
• Communication & collaboration: Clear and confident communicator with both technical and non-technical audi...