You design and build scalable AI-powered features using large language models for a web-based business software product.

Your tasks

Work in an AI feature team using agentic development methods with high personal responsibility
Design, develop and implement scalable AI-powered features used by many customers
Work intensively with large language models for NLP, conversational AI and generative AI use cases
Collaborate with cross-functional teams to design AI-driven features and applications
Drive innovation by researching the latest AI technologies and proposing new approaches

What you bring

University degree (or equivalent) in computer science or a related field
Practical experience as AI engineer, ML engineer or fullstack software engineer building scalable, secure AI features
Hands-on experience with cloud environments and AI platforms, and AI orchestration frameworks
Proven experience with RAG, prompt engineering and deploying LLMs for real business applications
Advanced Python programming skills, experience with AI/ML libraries, solid backend knowledge and databases
Familiarity with SaaS architectures and integrating AI services via APIs; basics in containers and CI/CD
Fluent English required, German a big plus

Conditions

Workload: 80–100 %
Work model: Hybrid
Option of a permanent position after the assignment if both sides want it

What to expect

Hybrid work model with flexible working hours
3–6 months interim, then a permanent position

Technologies

GCP
Vertex AI
Google ADK
LangChain
LlamaIndex
RAG
Python
MongoDB
Redis
Angular
PHP
Jenkins

How to apply

You apply with your Try&Hire profile: upload your CV, check the details, enter key facts and availability. A short introduction video is optional but helps. Our team will get in touch if your profile fits the assignment.

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