Senior AI Engineer (AI Enablement)
Core
Design, build, and operate production-grade AI systems (agents, assistants, frameworks) to enable internal company functions at scale.
Role type
Senior individual contributor AI engineer (AI enablement)
Builds
Production AI agents, shared frameworks, knowledge bases, and integrations connecting to company systems
Domain
Enterprise AI enablement, internal tooling, LLM application engineering
Deliverable
production ML models | product features
Required skills
LLM application engineering, agent frameworks, RAG and knowledge bases, system design, API design, Python, TypeScript, cloud environments, CI/CD, containerisation, security guardrails, data privacy
Preferred skills
Multi-agent systems, MCP-style tool interfaces, LLM evaluation/observability tooling, internal platform tooling, cost optimization of LLM workloads, full-stack experience
Technologies
Python, TypeScript, AWS, LLM APIs, agent frameworks, RAG
Responsibilities
Design and operate AI systems for internal functions end-to-end; build shared foundations like frameworks and integrations; work with functional champions to identify automation opportunities; implement security guardrails and responsible-AI practices; measure system adoption, quality, and cost; maintain system reliability and incident response; contribute to AI software factory and development practices; mentor engineers and support hiring
Seniority
Senior, hands-on IC with mentorship responsibilities
