Senior AI Engineer
Core
Designing and improving RAG pipelines, building evaluation harnesses, and defining safety boundaries for an AI reasoning layer (Lena) that governs enterprise physical infrastructure.
Role type
Senior IC machine-learning engineer (agentic control plane)
Builds
Production reasoning layer for enterprise physical infrastructure
Domain
Enterprise IT infrastructure + Applied AI
Deliverable
production ML models
Required skills
RAG system design, LLM evaluation pipeline construction, vector database management, embedding tuning, Python for production ML systems, latency and cost optimization, hallucination mitigation
Preferred skills
Agentic workflow design, compliance-aware AI logging, token modeling and caching strategies, scaling AI-native SaaS products
Technologies
Python, vector databases, LLMs
Responsibilities
Designing RAG pipelines for grounding diagnostic reasoning, building evaluation harnesses for groundedness and action accuracy, setting boundaries between probabilistic reasoning and deterministic actions, owning AI cost and latency budgets, partnering with backend engineers to land changes safely
Seniority
Senior, hands-on IC