Lead Developer – Agentic AI Platform

Jobtailor; Wien; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a highly skilled Python framework engineer to own the Agentic AI Platform, develop reusable components, SDKs, and developer tools for scalable AI agents. You will design MCP servers, routing, and memory systems, while refining RAG, evaluation, and knowledge access logic.

You will collaborate on open-source frameworks, ensure code quality, security, and maintainability, and drive modular architectures across distributed systems in Vienna.

Qualifikationen

• Strong hands-on Python development experience.
• Experience developing reusable frameworks, SDKs, libraries, platform components, or developer tools.
• 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 ontologies, taxonomies, and knowledge graphs is beneficial.

Aufgaben

• Own the technical implementation and framework development of the Agentic AI Platform.
• Develop and maintain Python-based platform capabilities, reusable components, SDKs, templates, and developer tools.
• Design and implement framework capabilities for agents, tools, MCP servers, orchestration, memory, RAG, model access, and evaluation.
• Implement MCP servers end-to-end, including schema design, validation, action execution, error handling, and interface contracts.
• Extend agent runtime capabilities for planning, tool use, routing, reasoning, context handling, and orchestration.
• Design and evolve RAG and knowledge access logic, including chunking, retrieval, ranking, generation, and evaluation.
• Implement agent memory and context management, including semantic, vector-based, and session-related memory.
• Build test frameworks, evaluation harnesses, and enablement tooling for testing and improving agentic AI solutions.
• Separate shared platform/framework capabilities from use-case-specific implementation logic.
• Evaluate, integrate, and extend open-source AI and agentic AI frameworks.
• Drive code quality, modularity, refactoring, secure coding, documentation, and maintainability.

Kenntnisse

Python development

Framework development

Open-source AI frameworks

MCP server implementation

RAG systems knowledge

Agent memory management

Test automation

Distributed systems

API design

Code quality practices

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

LlamaIndex

CrewAI

Jobbeschreibung

• Own the technical implementation and framework development of the Agentic AI Platform
• Develop and maintain Python-based platform capabilities, reusable components, SDKs, templates, and developer tools
• Design and implement framework capabilities for agents, tools, MCP servers, orchestration, memory, RAG, model access, and evaluation
• Implement MCP servers end-to-end, including schema design, validation, action execution, error handling, and interface contracts
• Extend agent runtime capabilities for planning, tool use, routing, reasoning, context handling, and orchestration
• Design and evolve RAG and knowledge access logic, including chunking, retrieval, ranking, generation, and evaluation
• Implement agent memory and context management, including semantic, vector-based, and session-related memory
• Build test frameworks, evaluation harnesses, and enablement tooling for testing and improving agentic AI solutions
• Separate shared platform/framework capabilities from use-case-specific implementation logic
• Evaluate, integrate, and extend open-source AI and agentic AI frameworks
• Drive code quality, modularity, refactoring, secure coding, documentation, and maintainability

Requirements

• Strong hands‑on Python development experience
• Experience developing reusable frameworks, SDKs, libraries, platform components, or developer tools
• 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 ontologies, taxonomies, and knowledge graphs is beneficial

Core Competencies

Demonstrates expertise in Python development and the design of reusable frameworks and SDKs for AI platforms. Proficient in implementing agent architectures, memory management, and evaluation systems while ensuring code quality and maintainability.

Highest-signal resume keywords

• Python Development
• Framework Development
• Open-Source AI Frameworks
• MCP Server Implementation
• RAG Systems Knowledge

Hard Skills

• Python
• Framework Development
• SDK Development
• API Design
• Schema Design
• RAG Systems
• Agent Memory Management
• Test Automation
• Modular Software Design
• Distributed Systems

Industry Keywords

• Agentic AI
• MCP Servers
• Evaluation Harnesses
• Knowledge Graphs
• Ontologies
• Taxonomies

Tools & Technologies

• LangChain
• LangGraph
• Semantic Kernel
• AutoGen
• LlamaIndex
• CrewAI