AI Engineer with German – GenAI & Agentic AI (all genders)

Wavestone Consulting Romania

1d•Hybrid

About The Position

Within Wavestone's "AI, Data & Software Solutions" Service Offering, data scientists, architects and engineers bring AI solutions into production for organisations in regulated industries such as energy, automotive, banking, insurance and the public sector. As an AI Engineer, you will build agentic AI systems that perform real work: understanding documents, supporting decision-making and executing actions in enterprise systems—reliably, measurably and on the platform best suited to the client. You develop production-ready GenAI and agentic AI solutions: agents that plan tasks, use tools, and prepare or execute actions in enterprise systems. You build RAG pipelines and extraction logic that reliably structure and validate information from unstructured sources such as documents, emails and forms and you connect data as well as streaming platforms (e.g. Databricks, Snowflake, Microsoft Fabric and Kafka) to provide data for AI applications. You develop robust backends and APIs and integrate AI components into existing system landscapes through REST, events or MCP. You make the quality of AI outputs measurable using automated evaluations, guardrails, tracing and human-in-the-loop workflows and ensure software quality through testing, code reviews, logging and monitoring. You use AI-assisted development tools effectively in your day-to-day work. You automate infrastructure and deployments with Infrastructure as Code and CI/CD - on AWS, Azure, Google Cloud, or sovereign and on-premises platforms. You work closely with architects, business stakeholders and client teams, document designs and interfaces clearly, and share your knowledge within the team.

Requirements

A 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 (e.g. LangGraph, LlamaIndex, Pydantic AI or model-provider agent SDKs), 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 (e.g. Terraform).
Experience with CI/CD (e.g. GitLab CI, GitHub Actions or Azure DevOps).
Experience with test automation, error handling and systematic root-cause analysis.
A strong commitment to quality: you want to know whether your system is producing the right results - and you measure this rather than assume it.
Business-fluent in German (at least C1).
Very good English skills.

Nice To Haves

Experience with open-weight models and their operation (e.g. vLLM or Ollama).
Experience with fine-tuning.
Experience with sovereign cloud environments.
Experience with document and information extraction (OCR, layout analysis and multimodal models).
Experience in regulated industries such as banking, insurance, energy or the public sector.
Cloud or AI certifications.

Responsibilities

Build agentic AI systems that perform real work: understanding documents, supporting decision-making and executing actions in enterprise systems.
Develop production-ready GenAI and agentic AI solutions: agents that plan tasks, use tools, and prepare or execute actions in enterprise systems.
Build RAG pipelines and extraction logic that reliably structure and validate information from unstructured sources such as documents, emails and forms.
Connect data as well as streaming platforms (e.g. Databricks, Snowflake, Microsoft Fabric and Kafka) to provide data for AI applications.
Develop robust backends and APIs and integrate AI components into existing system landscapes through REST, events or MCP.
Make the quality of AI outputs measurable using 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 effectively in your day-to-day work.
Automate infrastructure and deployments with Infrastructure as Code and CI/CD - on AWS, Azure, Google Cloud, or sovereign and on-premises platforms.
Work closely with architects, business stakeholders and client teams, document designs and interfaces clearly, and share your knowledge within the team.

Benefits

Individual development opportunities in line with your vision and at your pace.
PERSONAL GROWTH MODEL supports you in this, whether as an expert or entrepreneur.
Over 200 training days per year in our Academy.
Continuing education through certification courses.
German classes.
Flexible, mobile working is part of our DNA.
Mobile Work Policy offers the right framework to work remotely.
Attractive contact points for personal exchange via our offices.
Tailored vacation days, that will be increased every year (max. 30 days) based on your seniority within the company.
Flexible working hours.
Private Health Insurance.
Multi-benefits Platform: option to decide how to spend funds allocated for monthly benefits depending on your needs (meal tickets, gift vouchers, cultural vouchers, holiday vouchers and even subscriptions to sports clubs).
Mindfulness training and regular exchange via the Mindfulness Community.
Numerous events for networking and celebrating.