Lead Developer (f/m/d) - Agentic AI Platform

UNIQA Group; Wien; Remote; EUR 72,000 - 88,000; Full time

Job summary

UNIQA IT Services GmbH seeks a Lead Developer to own the technical implementation and framework development of the Agentic AI Platform. The role focuses on Python-based components, reusable patterns, and developer enablement to deliver agentic AI use cases across the organization.

You will design and implement MCP servers end-to-end, extend agent runtimes, and evolve RAG and memory logic while ensuring modular, secure, and maintainable platform code.

Qualifications

• Strong knowledge of open-source AI and agentic AI frameworks.
• Hands-on experience with MCP-style servers, schema design, and validation logic.
• Proven ability to design modular platform components in Python for scalable AI applications.

Responsibilities

• Develop and maintain Python-based platform capabilities and reusable components.
• Design reusable framework capabilities for agents, tools, memory, and orchestration.
• Extend agent runtime with planning, tool-use, routing, and memory management.

Skills

Python

LLM Architectures

Agent Frameworks

API Design

Distributed Systems

CI/CD

Testing/QA

Security

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

LlamaIndex

CrewAI

MCP servers

Job description

Lead Developer (f/m/d) - Agentic AI Platform

As one of the leading insurance companies, we know that together we can achieve more. At UNIQA, we are therefore the community for a better life. We use our individual skills to shape a better future together. Tell us about your strengths and apply at UNIQA IT Services GmbH (UITS), the IT service provider of the UNIQA Group, as Lead Developer (f/m/d) - Agentic AI Platform.

Purpose

Own the technical implementation and framework development of the Agentic AI Platform, with a strong focus on Python-based platform components, reusable agentic AI patterns, and developer enablement. Ensure that the platform codebase is modular, maintainable, secure, extensible, and supports efficient delivery of agentic AI use cases across the organization.

What to expect:

• 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

What we expect:

• Deep understanding of open-source AI and agentic AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, LlamaIndex, CrewAI, or comparable frameworks
• Strong understanding of LLM-based agent architectures, including planning, tool use, routing, orchestration, reasoning patterns, and agent runtime design
• Hands-on experience with MCP-style servers, action or skill servers, schema design, validation logic, and execution interfaces
• Solid knowledge of RAG systems, including retrieval logic, chunking, ranking, generation, grounding, and evaluation
• Good understanding of agent memory concepts, including vector memory, semantic memory, session context, and long-term memory patterns
• Strong skills in API design, schema modeling, interface contracts, modular software design, and distributed systems
• Experience with test automation, evaluation harnesses, quality gates, CI/CD, secure coding, and code quality practices
• Familiarity with knowledge representation concepts such as ontologies, taxonomies, and knowledge graphs is beneficial

Your core competencies:

Finding effective solutions: You aim for simple and feasible solutions. You ensure the efficient use of your team's resources

Action Oriented: We take action and learn from our mistakes

Collaborates: We collaborate beyond conventional boundaries

Ensures Accountability: We empower each other to take responsibility

At UNIQA, we embrace diversity and consciously foster different perspectives in our teams and leadership positions. We therefore explicitly welcome applications that enrich our diversity. We are striving to increase the proportion of women in leadership positions as well as in technical areas and particularly welcome applications from women. If you have any questions regarding accessibility, please contact the person listed in the advertisement on the right-hand side.

JOB KEY FACTS

Location: Wien, AT

Annual minimum salary gross (Euro): 80.000

Start Date: as of now

We look forward to getting to know you in a first interview online. Additional meetings are held in person at our head quarters in Vienna.