AI Engineer (w/m/d)

7 days ago

Düsseldorf, GermanyMid Level

Responsibilities

Evaluate AI use cases for technical feasibility, effort, architecture, risks, data requirements, and operational readiness.
Translate business requirements into robust technical target architectures and develop, test, and operate AI solutions within approved platforms, architectures, and enterprise AI guardrails.
Build and integrate LLM applications, RAG pipelines, agents, tools, skills, APIs, and MCP connections.
Develop and maintain frontend, backend, and integration components according to the use case.
Support rollout, monitoring, continuous improvement, and scaling of productive AI solutions.
Ensure secure, stable, maintainable, compliant, and properly authorized solutions, including documentation of architectures and operational knowledge.
Collaborate with AI Lab, Digital Services, IT, Cyber Security, Data Governance, AI experts, and business stakeholders.
Evaluate new models, frameworks, and technologies and turn local AI prototypes into reusable, scalable enterprise solutions.

Completed degree in computer science, data science, software engineering, or a comparable technical qualification.
Relevant professional experience in software engineering, AI engineering, data science, machine learning engineering, or a comparable technical environment.
Practical experience with LLM integration, RAG systems, agent architectures, context engineering, tool use, prompting, evaluation, or fine-tuning.
Confident use of technologies such as Python, TypeScript, React, FastAPI, Docker, APIs, cloud platforms, and CI/CD or comparable stacks.
End-to-end understanding of AI applications, including data sources, retrieval, orchestration, model integration, authorization, evaluation, monitoring, and operations.
Understanding of security, data protection, compliance, and governance in enterprise environments.
Strong communication skills, a structured and reliable hands-on approach, and enthusiasm for working with business, AI, data, and IT teams.
Fluent English and good German skills.

Mobile working is available to support work-life balance.
Individual training and professional development are offered through the Drees & Sommer Academy.
Health benefits include a sports bonus or subsidy for an EGYM-Wellpass membership.
Mobility benefits include Jobrad leasing, public transport subsidies, or a company car depending on the position.
Additional discounts are available through the corporate benefits portal.
The employee referral program offers an attractive bonus scheme.
A childcare allowance and additional benefits for special private events are provided.
The role is available at locations in Hamburg, Berlin, Leipzig, Cologne, Düsseldorf, Frankfurt, Stuttgart, or Munich.

1,001-5,000 employees