IT & AI Automation Engineer

Automation Architecture & Maintenance AI Workflow Design (using GPTs / LLMs) Internal Tool Building System & API Data Integration Access Control Monitoring Make.com Zapier n8n Notion OpenAI API Langchain Slack Microsoft Teams Asana Jira

Improvado

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Role Overview

We're looking for a technically curious IT professional who is genuinely excited about AI as a day-to-day working tool. This is a hybrid role: part IT engineer, part developer, part AI automation builder. You'll own the administration and reliability of our internal systems while also writing code, building integrations, and shipping agentic workflows that reduce manual work across the organization.

The ideal candidate is either a developer who has moved into IT, or an IT engineer with solid coding skills — someone comfortable context-switching between infrastructure, automation scripting, and hands-on AI tooling. You'll be working closely with engineering and operations in an async-first, international environment, being the person who makes everyone else's work easier.

We're an AI-native team that expects AI-native output velocity. Tasks that would have taken a week in 2022 should take hours today using tools like Claude, Cursor, and whatever else gets the job done. We measure whether it shipped, works, and is maintainable.

Responsibilities

Design, build, and maintain AI-powered internal workflows to reduce manual work across departments using tools like n8n, Make, or LLM-based agents
Implement and maintain MCP (Model Context Protocol) integrations to connect internal tooling and data sources
Write and own automation scripts and integrations in Python and/or JavaScript with focus on code readability and maintainability
Prototype agentic systems that solve real team pain points and iterate based on feedback
Own the administration and optimization of core SaaS stack: Google Workspace, Jira, Notion, and related platforms
Manage identity and access controls, SSO, and RBAC across the organization
Maintain system reliability, handle incidents, and support day-to-day IT operations
Apply security hygiene across the stack including access reviews, offboarding, audit logging, and SOC 2-aligned controls
Take ownership of workstreams end-to-end: scope, prioritize, deliver, and communicate progress
Document systems, processes, and integrations clearly for async consumption by the wider team

Requirements

Coding ability in Python and/or JavaScript — can write and maintain automation scripts, read unfamiliar codebases, and ship working integrations
Solid foundation in IT: systems administration, SaaS management, APIs, identity and access controls
Hands-on curiosity about AI tools and LLM-based workflows — personal or open-source projects count
High ownership mindset: manage workstreams, flag blockers early, and don't wait to be chased
Familiarity with Google Workspace, Jira, Notion, Make, n8n
Awareness of InfoSec basics: SSO, RBAC, SOC 2 concepts, and general security hygiene
Available to overlap with US business hours (EST/PST) for key meetings and async communication
Strong written English — communicate clearly, document well, and don't wait to be asked
Comfortable working independently in a remote, async-first environment

Nice to Have

Experience with LangChain, CrewAI, Cursor AI, or similar agentic frameworks
Familiarity with MCP (Model Context Protocol) integrations
Experience working with Claude and the Anthropic API
Background in both software development and IT/infrastructure
Previous remote work in international teams
Open-source contributions or personal AI/automation projects you can share

Benefits & Perks

High autonomy and ownership — we care about outcomes, not hours
Real opportunity to grow into AI engineering: shipping agentic systems from day one
Collaborative, no-bureaucracy culture with a technically strong, international team
20 working days of PTO per year
US holidays and additional days off

About the Company

Improvado is an AI-powered marketing data platform built for mid-market and enterprise teams, helping companies automate complex marketing data workflows and unify data at scale. They're a fast-growing Series A startup backed by $34M in funding, serving brands like ASUS, Docker, Activision, and H&R Block.