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)
Deliverable
production ML models | product features | infrastructure
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
