AI Automation Engineer

LEGO Education

AI Automation Engineer designing and implementing AI-driven solutions to improve business workflows. Collaborating across teams to identify automation opportunities and manage AI integrations.

Posted 7/25/2026full-timeLisbon • 🇵🇹 PortugalMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-powered automation solutions, integrating AI capabilities into business tools, and managing workflows across departments. Proficient in programming, scripting, and utilizing cloud platforms to enhance operational efficiency.

Highest-signal resume keywords

AI-Powered Automation SolutionsLLM API ExperiencePython ProgrammingREST API IntegrationCloud Platforms (AWS, GCP, Azure)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ScriptingWorkflow OrchestrationPrompt EngineeringEvent-Driven SystemsVector DatabasesMCP (Model Context Protocol)Fine-Tuning ModelsAutomation PrototypingCost OptimizationAI Integration

Soft Skills

Strong Communication SkillsStakeholder CollaborationProblem-Solving

Tools & Technologies

N8nZapierAirflowOpenAIAnthropicGitDockerOktaActive DirectoryGitHub

Industry Keywords

AI SolutionsAutomationBusiness Tools IntegrationOperational Pain PointsHuman-in-the-Loop Checkpoints

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerGoogle Cloud PlatformJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Identify manual, repetitive, or error-prone workflows across departments and assess automation potential (AI-based or otherwise)
Design and build AI-powered automations using LLMs, agents, and scripting to reduce manual effort
Integrate AI capabilities into existing business tools and systems (HR, finance, etc.)
Build and maintain pipelines connecting AI models to internal data sources and third-party APIs
Prototype quickly, validate with stakeholders, then productionize successful automations
Monitor deployed automations for reliability, cost, and output quality - iterate as needed
Document workflows, decision logic, and system architecture for maintainability
Partner with business stakeholders to translate operational pain points into technical requirements
Evaluate and recommend AI solutions, models, and vendors (build vs. buy decisions)
Establish guardrails around AI-driven processes (error handling, human-in-the-loop checkpoints, audit trails)

Requirements

What you’ll need

Proven experience building automation solutions (Scripting, workflow orchestration, or similar)
Hands-on experience with LLM APIs (OpenAI, Anthropic, etc.) and prompt engineering
Programming skills in Python and/or JavaScript/TypeScript + Git
Experience integrating with REST APIs and working with webhooks/ event-driven systems
Familiarity with workflow and orchestration tools (n8n, Zapier, Airflow, etc.)
Ability to scope ambiguous problems into concrete technical solutions
Strong communication skills; able to work directly with non-technical stakeholders
Experience with agentic frameworks (CrewAI or similar)
Familiarity with vector databases and RAG architectures
Experience with MCP (Model Context Protocol) or similar tool-calling frameworks
Background integrating AI into identity/IT systems tools (Okta, Active Directory) or dev tooling (GitHub, Jira, Slack, Datadog)
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker)
Knowledge of prompt evaluation/testing frameworks
Experience with fine-tuning or evaluating smaller/local models for cost optimization

Benefits

Comp & perks

Competitive salary & full benefits
Hybrid work model as per Company’s Policy
Perks: lunch & transport allowance as per Company’s Policy
25 days paid vacation per year
Health & dental insurance + wellness reimbursement (after 6 months work)
Team events & monthly office activities