Senior AI Engineer (m/f/d)
Riverty
Status
Hexjobs Insights
Senior AI Engineer (m/f/d) needed to develop AI solutions at Riverty. Key tasks include building AI tools for developers and enhancing AI platform capabilities. Requires 5-7 years in AI/ML with expertise in Python.
Schlüsselwörter
Introduction
We are looking for a
Senior AI Engineer (m/f/d)
(unlimited, full-time) Join our team at our location in Berlin, Baden-Baden, Verl or Tallinn – flexible working conditions available
Your key responsibilities:
As a Senior AI Engineer in our Technology & Innovation department, you will play a key role in developing Riverty’s AI platform to accelerate software engineering productivity. You will design and implement AI-driven solutions based on Large Language Models, agentic architectures, and knowledge graphs – building the foundation for automation and intelligent developer workflows across our tech organization.
- AI in Coding: Build AI solutions that support developers in refactoring, documentation, and legacy transformation
- AI-driven Innovation: Integrate external AI services to make Riverty’s products and services better, faster, and more human-centric
- Advance our AI platform capabilities: Enhance the platform with LLMs, knowledge graphs, APIs, and agent-based workflows
- Build & Experiment: Create prototypes and proof-of-concepts to quickly demonstrate value and drive adoption
- Develop & Deploy: Deliver production-grade AI services on Azure, ensuring performance, scalability, and compliance
- Lead & Partner: Tackle challenges hands-on and collaborate with external partners to accelerate innovation
Your profile:
- Degree in Computer Science, Business Informatics, or related field; business/innovation background is a plus
- 5–7 years of professional experience in AI/ML engineering or solution architecture
- Proven expertise in Python and AI/LLM frameworks (e.g., LangChain, PyTorch, TensorFlow)
- Strong knowledge of external AI models and services (OpenAI, Vertex, Claude, etc.)
- Experience with cloud-native architectures (preferably Azure), microservices, APIs, and containerized environments
- Familiarity with knowledge graph technologies and data architectures
- Strong problem-solving and communication skills, able to bridge technical and business needs
- Fluent in English; German is a plus
| Veröffentlicht | vor 25 Tagen |
| Läuft ab | in 5 Tagen |
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