AI Automation Engineer

Posted Yesterday
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Lisbon, PRT
Hybrid
Mid level
Gaming • Software
The Role
Identify manual workflows and design AI-driven automations using LLMs, agents, and orchestration tools. Integrate models with internal systems and APIs, prototype and productionize solutions, monitor reliability and cost, document architectures, and establish guardrails and human-in-the-loop processes.
Summary Generated by Built In

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

Skills Required

  • Proven experience building automation solutions (scripting, workflow orchestration)
  • Hands-on experience with LLM APIs (OpenAI, Anthropic) and prompt engineering
  • Programming skills in Python and/or JavaScript/TypeScript
  • Git (version control)
  • Experience integrating with REST APIs and working with webhooks/event-driven systems
  • Familiarity with workflow and orchestration tools (n8n, Zapier, Airflow)
  • Ability to scope ambiguous problems into concrete technical solutions
  • Strong communication skills; able to work 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 (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
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The Company
HQ: Carnaxide
17 Employees
Year Founded: 2023

What We Do

Celesta’s turnkey casino, sports betting and games aggregator solution allows brands to go to market or scale rapidly without the hassle of managing technical infrastructure. With a single, straightforward integration, operators can access a vast library of over 7,500 games, including slots, table games, live casino, and crash games, all from leading industry suppliers. At its core is a sophisticated Player Account Management (PAM) system covering everything from KYC processes and payment orchestration to bonuses, rewards, CRM, and automated marketing campaigns through their advanced scenario engine. This allows operators to manage their player base securely and effectively, along with the added flexibility to adapt to different market demands. Working within a highly competitive and regulated world, Celesta leads the field by combining technical superiority with intensive operational expertise. Responsive, resilient, and scalable, it’s a platform not just built to facilitate success, but to propel it. To discuss markets and our rapid go-to-market approach, please contact us at [email protected], and we will be happy to supply any information you require.

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