Senior AI Engineer – Generative AI, RAG, agentic systems

• You develop technically sound AI solutions for chatbots, retrieval systems and agentic workflows, deploy them to production and continuously improve them.
• You design and operate RAG architectures to answer regulatory questions based on internal and external knowledge sources, maintaining and optimizing them.
• Designing retrieval strategies, data preparation, chunking, metadata models and re-ranking methods are also part of your responsibilities.
• You build robust interfaces to data sources, knowledge stores and surrounding systems as well as prompt strategies, guardrails and agentic processes to ensure reliable and traceable responses.
• You ensure answer quality, traceability, reproducibility and reliability of AI systems and establish appropriate operational, monitoring and observability concepts for productive AI applications.
• You take on functional and technical co-responsibility for the stable, secure and auditable operation of productive AI applications.
• You analyze and resolve quality issues, hallucinations, retrieval weaknesses or misbehaviour in agentic processes - taking regulatory, data protection and security-relevant requirements into account during development and operation.

Requirements

• You have a degree in (business) computer science, mathematics, physics or a comparable qualification, plus many years of relevant professional experience in the AI field and experience leading interdisciplinary (sub-)projects.
• You bring solid experience in developing LLM-based applications and have very good knowledge of RAG, agentic architectures and in evaluating Gen AI systems.
• You have several years of experience with relevant frameworks and technologies such as Lang Chain, Lang Graph, Llama Index, APIs, service-oriented architectures and container-based deployments in the AI domain.
• You have knowledge of LLMOps as well as logging, tracing, monitoring and observability and can systematically address risks such as hallucinations, prompt injection, data leakage or insufficient grounding.
• You have business-fluent German skills (at least C1 level) and good English skills (B2 level).
• You bring a high degree of personal responsibility, team spirit and an agile working style - you enjoy developing AI solutions in an interdisciplinary environment and sharing your knowledge with colleagues.
• Core Competencies

Demonstrates expertise in developing and optimizing AI solutions, particularly in LLM-based applications and RAG architectures, while ensuring compliance with regulatory and security standards.

Proficient in monitoring, observability, and addressing quality issues in AI systems.

• Highest-signal resume keywords
• LLM-Based Application Development
• RAG Architecture Design
• Lang Chain Framework
• Monitoring and Observability
• Business-Fluent German
• ATS Optimization Keywords
• Hard Skills
• AI Solution Development
• Data Preparation
• Chunking
• Metadata Models
• Re-Ranking Methods
• Prompt Strategies
• Agentic Processes
• Quality Assurance
• Risk Management
• APIs
• Soft Skills
• Team Spirit
• Agile Working Style
• Personal Responsibility
• Industry Keywords
• Regulatory Compliance
• Data Protection
• Security Requirements
• Interdisciplinary Collaboration
• Gen AI Systems
• Tools & Technologies
• Lang Graph
• Llama Index
• Service-Oriented Architectures
• Container-Based Deployments
• LLMOps
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