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Deluxe

AI Engineer

Deluxe

AI Engineer designing and integrating AI-powered services across media and localization platforms for Deluxe. Collaborating with engineering teams to implement solutions and achieve business impact.

Posted 7/14/2026full-timeAachen • 🇩🇪 GermanyMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and integrating AI-powered services and APIs, with strong proficiency in Python and frameworks like FastAPI, Flask, and Django. Capable of evaluating AI models and optimizing workflows through automation and orchestration tools.

Highest-signal resume keywords
Python ProgrammingAI/ML DevelopmentRESTful API DevelopmentWorkflow OrchestrationModel Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI-Powered ServicesBackend DevelopmentData ServicesAutomation PlatformsAI-Enabled ApplicationsModel EvaluationAsynchronous ProgrammingMicroservicesData PipelinesTesting and Deployment
Soft Skills
Strong Communication SkillsCollaborative Teamwork
Tools & Technologies
FastAPIFlaskDjangoAI APIsNLPOCRRPAWorkflow Orchestration ToolsEvent-Driven SystemsMessage Queues
Industry Keywords
AI OrchestrationAgentic WorkflowsApplied AI TechniquesEmerging AI ModelsQuality Measurement

Tech Stack

Tools & technologies
DjangoFlaskMicroservicesPythonRPA

About the role

Key responsibilities & impact
  • Design, build, and integrate AI-powered services, APIs, workflows, and automation capabilities.
  • Develop agentic workflows and AI orchestration patterns that can be used by Deluxe applications and internal teams.
  • Build and maintain scalable backend services using Python and frameworks such as FastAPI, Flask, Django, or similar technologies.
  • Integrate AI-driven components with internal and external services through REST APIs, message queues, event-driven systems, or workflow orchestration tools.
  • Evaluate commercial, open-source, and internally hosted models for quality, latency, cost, reliability, and fit for purpose.
  • Build prototypes and production-ready services using LLMs, speech models, language models, or other AI capabilities.
  • Experiment with AI/LLM APIs, model providers, frameworks, and orchestration tools to identify practical solutions for business workflows.
  • Partner with product, operations, and engineering teams to identify AI use cases and translate them into technical solutions.
  • Support model evaluation, testing, benchmarking, prompt evaluation, and quality measurement.
  • Build integrations between AI services and existing Deluxe applications, workflow tools, data sources, and operational systems.
  • Work with AI Platform Engineers to package, deploy, monitor, and operate AI services in production.
  • Contribute to reusable AI engineering patterns, libraries, APIs, documentation, and best practices.
  • Support training, fine-tuning, data preparation, or experimentation activities where needed.
  • Stay current with emerging AI models, frameworks, agentic patterns, and applied AI techniques.

Requirements

What you’ll need
  • Experience building software systems, APIs, data services, automation platforms, or AI-enabled applications.
  • Hands-on experience with AI/ML, LLMs, agentic workflows, model integration, or applied AI development.
  • Strong programming skills in Python and experience with modern software engineering practices.
  • Experience building RESTful APIs and backend systems using frameworks such as FastAPI, Flask, Django, or similar technologies.
  • Experience integrating models, AI APIs, or AI services into production or near-production systems.
  • Understanding of APIs, microservices, data pipelines, asynchronous programming, orchestration, testing, and deployment practices.
  • Experience automating or optimizing complex workflows using AI, NLP, OCR, rules engines, RPA, or workflow orchestration tools.
  • Ability to evaluate model outputs, design experiments, compare approaches, and communicate technical tradeoffs.
  • Experience working collaboratively with platform, infrastructure, DevOps, product, and application teams.
  • Strong written and verbal communication skills.

Benefits

Comp & perks
  • Remote work options
  • Flexible working arrangements
  • Professional development opportunities