AI Engineer

🔥 2 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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adorsys

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

🔌 API

🔒 Cybersecurity

Fintech • API • Cybersecurity

adorsys is building and securing financial ecosystems. With over 15 years of experience in digital finance, the company specializes in open banking structures and helps customers achieve compliance in highly regulated environments. They offer customized and integrated API services, trusted by more than 100 leading banks. adorsys provides full lifecycle support for businesses undergoing digital transformation projects, offering state-of-the-art software solutions, cloud infrastructure planning, IT security measures, and a range of services including API management, identity & access management, open banking, smart analytics, and blockchain.

📋 Description

• Develop and operate production-ready multi-agent systems and autonomous workflows • Design RAG architectures using knowledge graphs and hybrid retrieval strategies • Build document-processing pipelines for extracting information from complex documents • Fine-tune and optimize LLMs and multimodal models • Design agent stacks using modern standards such as MCP and prompt engineering • Develop data-engineering pipelines for preprocessing, entity resolution, and data harmonization • Integrate LLM applications into existing systems • Evaluate, monitor, and optimize the performance of production AI systems • Collaborate closely within cross-functional teams • Turn emerging technologies such as LLMs, RAG, agentic systems, graph-based AI, and NLP into reliable products and reusable capabilities • Collaborate with Software Engineers, Knowledge Engineers, Data Engineers, Data Architects, and Product Teams

🎯 Requirements

• Several years of experience with production-ready GenAI and multi-agent systems • Strong knowledge of agent engineering and frameworks such as LangGraph, AutoGen, and CrewAI • Excellent Python skills • Experience with LangChain and LangGraph • Experience with LLM APIs such as Claude, OpenAI, and Gemini • Experience with fine-tuning, particularly SFT and RLHF • Expertise in document processing • Experience processing structured and unstructured data • Experience in data engineering, including ETL, preprocessing, and data pipelines • Understanding of production ML, including deployment, monitoring, and performance optimization • German language skills at C1 level or higher • Good command of English • Strong team-player skills • Nice to have, but not required: knowledge of knowledge graphs, the Semantic Web, or graph ML • Nice to have, but not required: experience with cloud AI platforms and MLOps, such as AWS Bedrock, MLflow, Docker, and Kubernetes • Nice to have, but not required: industry knowledge in tax, legal, or finance

🏖️ Benefits

• 31 vacation days from the start, with up to 40 vacation days per year possible • Annual professional development budget equivalent to 3% of gross salary • Flexible working hours • Remote work • Childcare/daycare allowance • Summer parties, Christmas parties, and other team events • JobRad bicycle leasing program • Subsidy for VGN/public transportation • Subsidy for company pension plans • Employer-supported savings benefits (VWL) • Modern office with a billiards room, foosball table, and massage chair • Corporate Benefits offering shopping and sports discounts • Free drinks, muesli, and fruit at the workplace • A Christmas tree for every employee