AI Engineer, German – GenAI, Agentic AI

🔥 1 minute ago

🇷🇴 Romania – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 16%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Wavestone

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2015

📣 Marketing

📦 Logistics

✈️ Travel

Marketing • Logistics • Travel

Wavestone is a consulting firm that operates globally, providing strategic transformation services across various sectors and disciplines. They offer cutting-edge technology solutions with a focus on cybersecurity and sustainability. With more than 5,500 employees in 17 countries, Wavestone is committed to delivering holistic, end-to-end capabilities to their clients, ensuring seamless implementation and exceeding customer expectations. Their services span IT strategy, data and AI advisory, and regulation and risk management.

📋 Description

• Build agentic AI systems that understand documents, support decision-making, and execute actions in enterprise systems • Develop production-ready GenAI and agentic AI solutions that plan tasks, use tools, and prepare or execute enterprise actions • Build RAG pipelines and extraction logic to structure and validate information from documents, emails, and forms • Connect data and streaming platforms such as Databricks, Snowflake, Microsoft Fabric, and Kafka to AI applications • Develop robust backends and APIs • Integrate AI components into existing system landscapes through REST, events, or MCP • Make AI output quality measurable through automated evaluations, guardrails, tracing, and human-in-the-loop workflows • Ensure software quality through testing, code reviews, logging, and monitoring • Use AI-assisted development tools in daily work • Automate infrastructure and deployments with Infrastructure as Code and CI/CD on AWS, Azure, Google Cloud, sovereign, or on-premises platforms • Collaborate with architects, business stakeholders, and client teams • Document designs and interfaces clearly • Share knowledge within the team

🎯 Requirements

• Degree in computer science, business informatics, data science, mathematics, engineering, or a comparable field, or an equivalent qualification gained through professional experience • At least 5 years of professional experience in software development • Minimum 1–2 years of hands-on experience with LLM-based applications beyond the prototype stage • Excellent Python skills • Proficiency in at least one additional enterprise technology language: Java, C#, or .NET • Experience developing APIs and interfaces • Hands-on experience with agentic AI frameworks such as LangGraph, LlamaIndex, Pydantic AI, or model-provider agent SDKs • Experience with RAG, vector databases, and MCP • Practical experience with at least one cloud platform: AWS, Microsoft Azure, or Google Cloud • Experience with containers and Infrastructure as Code, such as Terraform • Experience with CI/CD, such as GitLab CI, GitHub Actions, or Azure DevOps • Experience with test automation, error handling, and systematic root-cause analysis • Strong commitment to measuring AI system quality and results • Business-fluent German at least C1 • Very good English skills • Experience with open-weight models and their operation, fine-tuning, or sovereign cloud environments is an advantage • Experience with document and information extraction, OCR, layout analysis, and multimodal models is an advantage • Experience in regulated industries is an advantage • Cloud or AI certifications are an advantage

🏖️ Benefits

• Individually tailored career development opportunities through the PERSONAL GROWTH MODEL • Over 200 training days per year in the Academy • Certification courses • German classes • Coaching & Leading leadership culture • Flexible mobile/remote working through the Mobile Work Policy • Tailored vacation days increasing annually based on seniority, up to 30 days • Flexible working hours • Private health insurance • Monthly flexible benefits funds usable for meal tickets, gift vouchers, cultural vouchers, holiday vouchers, and sports club subscriptions • Mindfulness training and regular exchange through the Mindfulness Community • Networking and celebratory events