Engineer II (AI Enablement)
Core
Build tools, agents, and integrations to enable company-wide AI adoption and support internal functions.
Role type
Senior individual contributor AI enablement engineer
Builds
AI agents, assistants, knowledge-base pipelines, and integration tooling for internal teams
Domain
Enterprise AI, LLM application development, internal tooling
Deliverable
production ML models | product features | infrastructure
Required skills
LLM application development, RAG patterns, prompt engineering, API design, database design, SQL, cloud infrastructure, CI/CD, Python, TypeScript, system design
Preferred skills
Agent frameworks, MCP-style tool interfaces, knowledge-base systems, third-party SaaS API integration, full-stack development
Technologies
Python, TypeScript, AWS, Docker, Kubernetes
Responsibilities
Build and operate AI agents and assistants end-to-end; maintain knowledge-base pipelines; integrate AI systems with company tools via APIs; apply security guardrails and responsible-AI practices; build user-facing tooling and interfaces; instrument solutions with adoption and cost metrics; gather user feedback and implement improvements; ensure system reliability and incident response; document systems and contribute to shared frameworks
Seniority
Mid-level individual contributor (3+ years experience)