Senior AI Engineer
Core
Design, build, evaluate, and operate production AI systems (LLMs, retrieval, agents, predictive techniques) to solve business and engineering problems for IT distributors, MSPs, and telcos.
Role type
Senior Applied AI Engineer (Individual Contributor)
Builds
Production AI systems, automated vendor-integration capabilities, AI-assisted software delivery pipelines, and intelligent monitoring/anomaly detection tools.
Domain
Subscription commerce platform for IT distribution and Managed Service Providers
Deliverable
production ML models
Required skills
Python, distributed systems, LLMs, retrieval/RAG, agentic workflows, model fine-tuning, evaluation design, observability, CI/CD, cloud-native services
Preferred skills
MCP patterns, orchestration (LangGraph/Temporal), production predictive ML, unstructured data systems, AI security practices
Technologies
Python, Kubernetes, Cloud-native services, Model APIs, LangGraph, Temporal
Responsibilities
Own end-to-end lifecycle of complex AI systems; translate ambiguous business problems into measurable AI behavior; design evaluation strategies and production monitoring; engineer for reliability, latency, and cost; mentor engineers and establish reusable AI patterns.
Seniority
Senior, hands-on IC
