Job
In this role, you develop Python-based platform capabilities and implement reusable frameworks and agent logic for the Agentic AI Platform, while ensuring code quality and modularity.
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Job technologies
Your role in the team
- Develop and maintain Python-based platform capabilities, reusable components, SDKs, templates, and developer tools.
- Design and implement reusable framework capabilities for agents, tools, MCP servers, orchestration, memory, RAG, model access, and evaluation.
- Implement MCP servers end-to-end, including schema design, validation logic, action execution, error handling, and interface contracts.
- Extend agent runtime capabilities, including planning, tool-use, routing, reasoning support, context handling, and orchestration patterns.
- Design and evolve RAG and knowledge access logic, including chunking, retrieval, ranking, generation, and evaluation patterns.
- Implement agent memory and context management logic, including semantic, vector-based, and session-related memory concepts.
- Build test frameworks, evaluation harnesses, and enablement tooling that allow developers to test, validate, and improve agentic AI solutions.
- Ensure clean separation between shared platform/framework capabilities and use case-specific implementation logic.
- Evaluate, integrate, and extend open-source AI and agentic AI frameworks in line with the platform architecture.
- Drive code quality, modularity, refactoring, secure coding, documentation, and maintainability of the platform codebase.
Our expectations of you
Qualifications
- Deep understanding of open-source AI and agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or comparable frameworks.
- Starkes Verständnis von LLM-basierten Agentenarchitekturen, einschließlich Planung, Tool-Nutzung, Routing, Orchestrierung, Denkmuster und Agenten-Laufzeitdesign.
- Solid knowledge of RAG systems, including retrieval logic, chunking, ranking, generation, grounding, and evaluation.
- Gutes Verständnis der Agenten-Memory-Konzepte, einschließlich Vektor-Memory, semantischem Memory, Sitzungs-Kontext und Langzeit-Memory-Muster.
- Strong skills in API design, schema modeling, interface contracts, modular software design, and distributed systems.
- Familiarity with knowledge representation concepts such as ontologies, taxonomies, and knowledge graphs is beneficial.
Experience
- Starke praktische Erfahrung in der Python-Entwicklung.
- Experience developing reusable frameworks, SDKs, libraries, platform components, or developer tools.
- Hands-on experience with MCP-style servers, action or skill servers, schema design, validation logic, and execution interfaces.
- Experience with test automation, evaluation harnesses, quality gates, CI/CD, secure coding, and code quality practices.
What we offer
- Location: Vienna, AT
- Hours per week: 38.5
- Annual minimum gross salary (Euro): 80,000
- Start Date: as of now
- We will agree on your actual salary depending on your education and experience during the recruiting process.
- We look forward to getting to know you in a first interview online. Additional meetings are held in person at our headquarters in Vienna.
Benefits
Food & drink
Topics you will work on
Job locations
About your employer
The UNIQA Group is one of the leading insurance groups in its core markets in Austria and Central and Eastern Europe. We have around 40 companies in 19 countries, and more than 10 million customers.
- 250+ Employees
- 1999
- German, English
- Established Company
- Hybrid
- Banking, Finance, Insurance
Employer reviews
- Career growth
- 3.7
- Engineering
- 2.9
- Team culture
- 3.7
- Working conditions
- 3.5
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