AI Automation Engineer

About the Role

We're looking for an AI Automation Engineer to identify, design, and implement AI-driven solutions that eliminate manual work and improve the speed, quality, and cost-efficiency of our business workflows. You'll work across teams to find automation opportunities and turn them into production-ready systems.

This position reports directly to the Deputy CTO.

Location: Carnaxide, Portugal (Hybrid – up to 8 days/month remote, 1st month fully on-site)

Key Responsibilities

• 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

• 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
  
  

Nice to Have

• 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
  
  

What We Offer

• 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