AI engineer / Consultant

Job description

• Actively contribute to the assessment, piloting,development and maintenance of AI-based services and solutions for our clients
• Actively contribute to the development of non-AI-based data services for our clients, such as e.g. classical data analytics projects
• Write concepts and technical proposals for the acquisition of new projects in the field of AI and data-driven solutions
• Actively communicate with non-technical team members, clients, and partners
• Elaboration of reports, concepts and presentations
• Support internal GFA AI initiatives and our innovation pipeline: assessment of technical feasibility, assist requirement analysis, develop pilot solutions and support deployment

Qualifications

• University degree (MA) in computer science, economics, statistics, data science, physics, mathematics or another degree with a strong quantitative focus
• At least 2 years of relevant work experience in the context of public sector AI, ideally including in digital product or service development
• Stay up-to-date with the latest advancements in AI and machine learning
• Software Development skills, several of the following:Python (FastAPI)Microservice design, API & MCP design & development Docker, design of Docker images, container orchestration Databases: Postgres Deployment pipelines, web server configuration (NGINX, Traefik etc.)
• AI experience: Design, deployment and management of Vector/Graph Databases. Experience in the production use of agent frameworks such as LangGraph, SmolAgents, OpenAI Agent SDK, CrewAI or PydanticAI, and are familiar with typical LLM-based workflows such as conversational AI, RAG, information extraction, tool calling and LLM-based evaluationAzure Machine Learning: set-up and management of compute spaces. Knowledge of, and ideally practical experience with, modern approaches such as Agentic RAG, GraphRAG, multi-agent workflows, text-to-SQL and code retrieval
• Basic knowledge know-how of IT systems, webarchitectures, data protection concepts
• Full proficiency in written and spoken German and English. French is an asset
• Strong writing, communication and presentation skills
• Proactive and self-motivated with a strong desire to learn and grow
• Based in Berlin or Hamburg or willing to move

Advantageous:

• Experience with cloud deployments and MLOps, for example on Azure, GCP or AWS
• Experience with deployment and maintenance within Kubernetes