Senior Applied Artificial Intelligence Engineer

Jobtailor; Deutschland; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

Jobtailor in Germany is seeking a senior AI/ML engineer to design, develop, and deploy production models, services, and pipelines that are scalable and reliable.

You will collaborate with data science, product, data engineering, and platform teams to translate business problems into technical solutions and to mentor engineers on best practices.

Qualifikationen

• 5–10+ years of hands-on experience in software, AI, or data engineering.
• Bachelor's degree or equivalent work experience.
• Experience designing end-to-end AI workflows and applications.
• Hands-on experience with LLM/GenAI technologies.
• Experience with AI/LLM frameworks and tools (e.g., LangChain, LlamaIndex, Semantic Kernel).
• Experience working with unstructured enterprise data.
• Strong engineering and product judgment including API development.

Aufgaben

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable.
• Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions.
• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows.
• Monitor deployed models for performance degradation, bias, drift, and operational issues.
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions.

Kenntnisse

Python

AI workflows

Data engineering

Model training

Model evaluation

Model deployment

Model monitoring

Model retraining

API development

Application development

Ausbildung

Bachelor's degree

Tools

LangChain

LlamaIndex

Semantic Kernel

LLM technologies

GenAI technologies

Jobbeschreibung

Responsibilities

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable
• Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions
• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows
• Monitor deployed models for performance degradation, bias, drift, and operational issues
• Mentor engineers and contribute to technical standards, best practices, and architecture decisions

Requirements

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience
• 5–10+ years of hands‑on experience in software, AI, or data engineering with strong Python proficiency
• Experience designing and delivering end‑to‑end AI workflows and applications
• Hands‑on experience with LLM/GenAI technologies
• Experience with AI/LLM frameworks and tools (e.g., LangChain, LlamaIndex, Semantic Kernel)
• Experience working with messy, unstructured enterprise data
• Strong engineering and product judgment including API/application development

Hard Skills

• Python
• AI workflows
• Data engineering
• Model training
• Model evaluation
• Model deployment
• Model monitoring
• Model retraining
• API development
• Application development

Soft Skills

• Mentoring
• Technical standards
• Best practices
• Architecture decisions
• Engineering judgment
• Product judgment

Certifications & Qualifications

• Bachelor's degree

Industry Keywords

• Production models
• Scalable services
• Reliable pipelines
• Performance monitoring
• Bias detection
• Data science
• Product teams
• Data engineering teams
• Enterprise data
• Unstructured data

Tools & Technologies

• LLM technologies
• GenAI technologies
• LangChain
• LlamaIndex
• Semantic Kernel