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# (Junior) Backend Engineer - AI Agents & LLM Integration

- **Company:** YoungCapital
- **Location:** München, Germany
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Application Integration Architecture, Cloud Computing, Information Systems, Continuous Integration, Python (Programming Language), Software Architecture, OpenAI, Data Streaming, Large Language Models, Generative AI, AI Coding Agents, Backend, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Fastapi, Information Technology, PydanticAI Framework, LiteLLM, Google Gemini
- **Published:** November 12, 2026
- **Apply:** https://www.youngcapital.de/stellenangebote/9479459-junior-backend-engineer-ai-agents-llm-integration-m-f-d

## About the Role

* University degree in Computer Science, Data Science, Information Systems or a similar field, plus 1-4 years of professional experience in software or backend development
 * Hands-on experience with Python (ideally FastAPI, asyncio, LiteLLM, Langfuse, OpenTelemetry) and with LLM APIs (OpenAI, Anthropic, Gemini) or agent frameworks such as LangGraph, Google ADK or PydanticAI
 * Solid understanding of software architecture, APIs and integration patterns, familiarity with cloud platforms, containers and CI/CD, and you find your way quickly in unfamiliar codebases
 * AI-native way of working: you use AI coding tools daily and know where human review and judgment are needed
 * Generalist mindset and high ownership: you drive topics independently and want to try everything, from AI to rendering engines and visualizations
 * You thrive in a fast-moving environment, pick up new tech quickly and are motivated to grow technically and personally. A very good command of English (spoken and written) completes your profile

## Description

As a Backend Engineer (m/f/d), you'll bring AI agents and LLM-based applications into real, established system landscapes. You'll analyze how existing systems work, design the integration and build the cloud backends that make AI usable in practice. Your work runs from evaluating new models and frameworks to delivering production-ready solutions.
Your Role

 * Agent integration: design, build and integrate AI agents and LLM-based applications into complex, existing system landscapes
 * System adaptation: analyze and adapt existing systems (interfaces, data flows, architecture) so they are ready for AI integration
 * Cloud backends: develop and run cloud backends across different toolchains and environments
 * Research and implementation: evaluate new technologies, models and frameworks, then turn promising results into working solutions, depending on the topic
 * Documentation: document architectures, integrations and findings clearly for the team and for external stakeholders