AI Automation Engineer

Jobtailor

Lisboa

Presencial

EUR 55 000 - 85 000

Tempo integral

14 dias+

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Resumo da oferta

Jobtailor in Lisbon, Portugal, seeks an experienced AI Automation Engineer to identify and automate manual workflows across departments using AI-powered solutions. You'll design, prototype, and productionize automations, integrating with internal tools and external APIs to boost efficiency.

You will work with LLMs, agents, scripting, and modern orchestration tools, ensuring reliability, cost control, and maintainability while collaborating with non-technical stakeholders.

Qualificações

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.

Responsabilidades

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)

Conhecimentos

Scripting

Workflow Orchestration

Prompt Engineering

Event-Driven Systems

Vector Databases

MCP (Model Context Protocol)

Fine-Tuning Models

Automation Prototyping

Cost Optimization

AI Integration

Ferramentas

N8n

Zapier

Airflow

OpenAI

Anthropic

Git

Docker

Okta

Active Directory

GitHub

Descrição da oferta de emprego

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
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

Core Competencies

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.

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