AI Engineer

This is a fully remote position, open to applicants in Germany.

📋 Description

• Develop and manage production-ready multi-agent systems and autonomous workflows.

• Design retrieval-augmented generation (RAG) architectures utilizing knowledge graphs and hybrid retrieval methods.

• Create document-processing pipelines to extract information from complex documents.

• Fine-tune and enhance large language models (LLMs) and multimodal models.

• Construct agent stacks adhering to contemporary standards such as Model-Driven Continuous Programming (MCP) and prompt engineering.

• Develop data-engineering pipelines for preprocessing, entity resolution, and data harmonization.

• Integrate LLM applications with existing systems.

• Assess, monitor, and improve the performance of production AI systems.

• Collaborate effectively within cross-functional teams.

• Transform emerging technologies like LLMs, RAG, agentic systems, graph-based AI, and natural language processing (NLP) into reliable products and reusable capabilities.

• Work alongside Software Engineers, Knowledge Engineers, Data Engineers, Data Architects, and Product Teams.

⛳️ Requirements

• Several years of experience with production-ready Generative AI (GenAI) and multi-agent systems.

• In-depth knowledge of agent engineering and frameworks such as LangGraph, AutoGen, and CrewAI.

• Proficient skills in Python programming.

• Experience with LangChain and LangGraph.

• Familiarity with LLM APIs including Claude, OpenAI, and Gemini.

• Experience in fine-tuning, specifically Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF).

• Expertise in document processing.

• Experience in handling both structured and unstructured data.

• Background in data engineering, including ETL processes, preprocessing, and data pipeline development.

• Understanding of production machine learning, encompassing deployment, monitoring, and performance optimization.

• Proficiency in the German language at C1 level or above.

• Strong command of the English language.

• Excellent teamwork skills.

• Preferred but not mandatory: knowledge of knowledge graphs, the Semantic Web, or graph machine learning (ML).

• Preferred but not mandatory: experience with cloud AI platforms and MLOps, such as AWS Bedrock, MLflow, Docker, and Kubernetes.

• Preferred but not mandatory: industry knowledge in tax, legal, or finance sectors.

🏝️ Benefits

• 31 vacation days from the outset, with the possibility of accruing up to 40 vacation days per year.

• Annual professional development budget equivalent to 3% of gross salary.

• Flexible working hours.

• Opportunity for remote work.

• Childcare/daycare allowance.

• Summer parties, Christmas parties, and various team events.

• JobRad bicycle leasing program.

• Subsidy for public transportation (VGN).

• Subsidy for company pension plans.

• Employer-supported savings benefits (VWL).

• Modern office featuring a billiards room, foosball table, and massage chair.

• Corporate Benefits providing discounts on shopping and sports.

• Complimentary drinks, muesli, and fruit available at the workplace.

• A Christmas tree provided for every employee.