(Junior) Backend Engineer - AI Agents & LLM Integration
YoungCapital
München, Germany
1 day ago
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Apply on www.youngcapital.de
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English
Job source
Tech stack
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
+9 more
AI Coding Agents
Backend
Langfuse — LLM Observability and Analytics Platform
Agentic-AI
Fastapi
Information Technology
PydanticAI Framework
LiteLLM
Google Gemini
Job 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
Requirements
- 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
Benefits & conditions
- Salary Package based on your previous experience and qualifications, reviewed annually as part of our Performance and Progression process, along with an individual learning and development budget to support your growth
- Work hands-on with the newest technologies from day one, backed by regular Tech Discovery sessions, while shaping the future of engineering and gaining insights across a broad range of industries
- Hybrid work setup giving you the flexibility to balance focus time with staying close to your stakeholders and colleagues, along with your choice of OS
- Everyday perks including subsidized lunch through our Foodji
- Access to mobility benefits such as the Deutschlandticket and JobRad
- Access to our Become1 benefits card and health benefits such as Wellpass and OpenUp
- Regular team and company events: Our Christmas party, eigendays, and quarterly team buildings, plus an annual company offsite
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.youngcapital.de
Prepare application
- Draft this with your agent
- Open in Claude
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