AI Enablement Engineer
Core
Design, build, and maintain AI-powered solutions and automations to simplify workflows and improve productivity across the company.
Role type
AI Enablement Engineer
Builds
Internal AI solutions, automations, reusable components, and self-hosted AI infrastructure for Marketing, Sales, HR, Finance, and Operations.
Domain
Enterprise Software Asset Management (SaaS)
Required skills
Python, API integrations, LLMs, RAG, vector databases, agent frameworks, commercial AI platforms (ChatGPT, Codex), open-source AI models, Linux, Docker
Preferred skills
Workflow automation platforms (n8n, Make, Temporal), cloud AI platforms (AWS Bedrock, Azure AI, GCP Vertex AI), MLOps, fine-tuning open-source language models
Technologies
Llama, Qwen, ChatGPT, Codex, RAG pipelines, vector databases, Linux, Docker, n8n, Make, Temporal, AWS Bedrock, Azure AI, GCP Vertex AI
Responsibilities
Build and maintain AI-powered solutions and automations tailored to departmental needs; Drive AI adoption by mentoring colleagues and creating documentation; Design and develop reusable AI components, prompts, and workflows; Experiment, iterate, and evaluate new models and approaches; Automate intelligently by selecting between deterministic processes and AI for non-deterministic workflows; Build and manage self-hosted AI infrastructure including open-source models and inference APIs.
Seniority
Mid-level, hands-on IC