AI Platform Engineer

Stack

Responsibilities

• ▹Operate, monitor, and continuously improve the enterprise AI platform across development, QA, and production environments
• ▹Maintain and extend the platform's three containerized services: FastAPI backend, Streamlit frontend, and APScheduler-based document processing worker
• ▹Manage Azure infrastructure using Terraform, including App Service, Azure AI Search, Azure OpenAI deployments, Blob Storage, PostgreSQL, Redis, and Key Vault
• ▹Build and maintain CI/CD pipelines in GitHub Actions for automated container builds, infrastructure deployments, LLM evaluation runs, and release management
• ▹Onboard new AI use cases and workspaces by managing the datasource provisioning workflow from configuration to Azure resource creation
• ▹Develop and operate document scraping and processing pipelines that ingest content from SharePoint, internal wikis, and web portals into Azure AI Search
• ▹Support LLM quality assurance by maintaining the automated evaluation pipeline and monitoring model behavior through observability tooling
• ▹Collaborate with Data Scientists to integrate new models and agents into the platform's agentic query pipeline

Requirements

• ▹Bachelor's degree in Computer Science, Information Technology, Data Science, or similar studies
• ▹Minimum 2 years of IT or industry working experience in a DevOps, MLOps, or platform engineering role
• ▹Solid experience with Python application development
• ▹Experience with containerization using Docker, including multi-stage build patterns and container image registries
• ▹Experience with cloud platforms, preferably Microsoft Azure (App Service, Blob Storage, AI Search, Azure OpenAI, Microsoft Foundry)
• ▹Good knowledge of Infrastructure as Code, preferably Terraform
• ▹Good knowledge of CI/CD processes and hands-on experience with GitHub Actions or comparable tooling
• ▹Strong communication skills, working effectively with Data Scientists, business stakeholders, and IT teams
• ▹Proficient English language skills, written and spoken

Nice to have

• ▹Experience working in a multinational company

Soft skills

What we offer

• ▹Integration in a challenging and international work environment
• ▹Flexible working model
• ▹Collaborative working style
• ▹Continuous opportunities for the promotion of talent and training
• ▹Opportunity to make a difference

About the company

Continental's Tire IT team works with domain experts across the business units to identify opportunities that can be solved through artificial intelligence and advanced analytics; this role is based at the Data Science Hub in Portugal, part of a global team.