9 months ago
Frankfurt, GermanyMid Level
Responsibilities
- Develop and productionize agentic AI and LLM-based systems for customer use cases.
- Design generative AI and NLP systems optimized for performance, latency, cost, extensibility, and complexity.
- Build retrieval-augmented chatbots, agent systems, fine-tuned language models, and domain-specific NLP solutions.
- Implement robust, extensible ML pipelines using current MLOps and LLMOps practices across Azure, AWS, and GCP.
- Collaborate closely with customers and stakeholders and act as a developer, subject matter expert, or technical lead depending on the project.
- Contribute to product and service portfolio development and create technical marketing content.
- Track current developments in NLP and AI methods, tools, frameworks, and research.
- Travel occasionally to customer sites in Germany, Austria, and Switzerland.
Requirements
- At least two years of practical experience in machine learning and deep learning, especially transformers, large language models, and generative AI.
- Experience with NLP tools and methods, LLM APIs, agent frameworks, Hugging Face Transformers, tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation.
- Production experience with agent frameworks such as LangGraph, SmolAgents, OpenAI Agent SDK, CrewAI, or PydanticAI.
- Knowledge of LLM workflows including conversational AI, RAG, information extraction, tool calling, and LLM-based evaluation.
- Knowledge or ideally practical experience with Agentic RAG, GraphRAG, multi-agent workflows, text-to-SQL, and code retrieval.
- Ability to write clean, performant, extensible code and reliably move systems into production.
- Initial experience with cloud deployments and MLOps on Azure, GCP, or AWS.
- Very good German and English skills at least at C1 level, with the ability to explain complex topics to business and technical stakeholders.
- Reliable, thorough, structured working style and willingness to communicate with customers.
Benefits
- Challenging Data and AI projects with well-known customers across multiple industries.
- Continuous professional development through feedback, individual support, training, and a mentoring program.
- Open, diverse, appreciative culture with flat hierarchies, short decision paths, and strong teamwork.
- Modern, iterative working environment with autonomy and room for new ideas.
- Fair and transparent structured salary bands that are regularly adjusted to market and performance developments.
- Frankfurt office as the central workplace, with regular remote work and up to four weeks per year working from another EU country.
- Discounted Deutschlandticket and reduced-price access to sports and wellness services through Wellpass.
- High-quality IT equipment such as a MacBook Pro, team events, childcare subsidies, and employee discounts.