AI Engineer

Jobtailor; Aachen; Vor Ort; EUR 70.000 - 100.000; Vollzeit

Zusammenfassung

Jobtailor is seeking an experienced AI-focused software engineer in Germany to design and implement AI-powered services and scalable backends.

You will build and integrate AI-driven components, collaborate with product and operations teams, and ensure production-grade reliability and performance. This role emphasizes hands-on Python, APIs, and modern workflow orchestration.

Qualifikationen

• Experience building software systems, APIs, data services, or AI-enabled applications.
• Hands‑on experience with AI/ML, LLMs, agentic workflows, and model integration.
• Strong Python programming and modern software engineering practices.
• Experience building RESTful APIs and backend systems with FastAPI, Flask, or Django.

Aufgaben

• Design, build, and integrate AI-powered services, APIs, and automation.
• Develop agentic workflows and AI orchestration patterns for Deluxe apps.
• Build and maintain scalable backend services using Python.
• Integrate AI components with services via REST APIs, messages, and workflows.
• Evaluate models for quality, latency, cost, and reliability.
• Build prototypes and production services using LLMs and AI capabilities.
• Experiment with AI/LLM APIs and orchestration tools for business workflows.
• Partner with product/ops/engineering to identify AI use cases.
• Assist in model evaluation, testing, benchmarking, and prompts quality.
• Create integrations between AI services and existing Deluxe apps and data.
• Collaborate with AI Platform Engineers to deploy and monitor services.
• Contribute to reusable AI engineering patterns and docs.
• Support training, fine-tuning, and data prep where needed.
• Stay current with emerging AI models and techniques.

Kenntnisse

Python

REST APIs

AI/ML

LLMs

Agentic workflows

Async programming

Data pipelines

DevOps collaboration

Tools

FastAPI

Flask

Django

Jobbeschreibung

Responsibilities

• 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

• 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.

Core Competencies

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.