Senior Generative AI & Agentic AI Engineer

Quick Facts

• Role: Senior Generative AI & Agentic AI Engineer
• Focus: Scalable GenAI services, chatbots, and autonomous agents; on-prem deployment and secure RAG/agent integration

Description

You will design, program, orchestrate, and test scalable GenAI services, chatbots, and autonomous agents using modern frameworks. The role involves deploying and maintaining LLM infrastructure in a secure on-prem environment (Docker/Kubernetes), optimizing performance and resource usage. You will also develop RAG pipelines to connect internal knowledge bases and implement MCP tools for standardized, secure interfaces—while ensuring strict security and compliance requirements.

Responsibilities

• Build and test GenAI services, chatbots, and autonomous agents
• Deploy and maintain LLM infrastructure on-prem with Docker/Kubernetes, including performance optimization and resource management
• Develop and optimize RAG pipelines for internal knowledge database integration
• Implement MCP tools for standardized, secure interfaces
• Ensure compliance with security and compliance policies
• Provide technical support, analyze issues, and create technical documentation and best practices
• Contribute to the GenAI technical roadmap and deliver PoCs for new AI use cases

Requirements

• Degree in Computer Science, Artificial Intelligence, Data Science, or equivalent
• 10+ years of professional experience, with 3–4+ years in AI projects
• Strong Python programming skills
• Demonstrated GenAI expertise for LLM applications, chatbots, and agents
• Experience with LLM inference frameworks (e.g., vLLM, SGLang)
• Experience with vector databases (e.g., Qdrant, Chroma)
• Experience with AI agents (e.g., Claude Code, OpenCode)
• Hands-on Docker and Kubernetes experience (deployment, scaling, monitoring) in on-prem setups, plus container networking knowledge
• Secure Git usage (branching strategies, code reviews)
• Fluent German and English (spoken and written)
• Willingness for occasional business travel

Benefits

• Permanent position with flexible working time options (including reduced weekly hours)
• 30 days annual vacation (tariff-based) with a 35-hour work week
• Flexible work arrangements
• Training and development opportunities
• Health offers
• Canteen and cafeteria
• Attractive compensation and additional benefits
• Inclusive work environment and flexible collaboration