Asks for

The ad says“You have experience in productive use of agent frameworks such as Langgraph, SmolAgents, OpenAI Agent SDK, CrewAI, PydanticAI and knowledge of typical LLM-based workflows such as conversational AI, RAG, information extraction, tool-calling uses, and LLM-based evaluation”
The ad says“You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval”
The ad says“You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)”
The ad says“You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)”
The ad says“You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval”
The ad says“You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.”
The ad says“You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)”
The ad says“You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.”
The ad says“You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval”
The ad says“You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation”
The ad says“You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation”
The ad says“You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation”
The ad says“You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation”
The ad says“You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)”
The ad says“You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.”
The ad says“You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.”
The ad says“You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)”
The ad says“You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval”
The ad says“You have experience in productive use of agent frameworks such as Langgraph, SmolAgents, OpenAI Agent SDK, CrewAI, PydanticAI and knowledge of typical LLM-based workflows such as conversational AI, RAG, information extraction, tool-calling uses, and LLM-based evaluation”
The ad says“You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval”
The ad says“You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.”
The ad says“You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation”

About us

statworx is a leading Data & AI Consulting and Development company in the DACH region. For more than a decade, we have been helping organizations succeed with consulting, development, and training – delivering over 1,000 successful projects for more than 100 clients across nearly every industry.

From AI strategy to implementation, we develop innovative solutions. With expertise in AI Strategy, Generative AI, Agentic AI, Data & AI Engineering, and AI Infrastructure, we support organizations throughout their entire AI transformation journey.
Our goal: Creating value from Data & AI.

Our AI Development department serves as a facilitator for Data & AI transformation. We are taking a holistic approach, from the initial evaluation of AI maturity, through the design and development of data and AI solutions, to the practical implementation and scaling of AI solutions. Through our deep expertise in Data Engineering, Data Science, Machine Learning, we ensure that our clients gain the maximum value from their data.

Your tasks

Focus: Building and deploying production-ready AgenticAI and LLM-based systems

You will design generative AI & NLP systems, that optimally cover customer problems and use cases in terms of performance, latency, costs, extensibility and complexity, within the scope of customer projects
You will have close contact with various stakeholders and representatives of our customers on a regular basis
You will act as a project developer, subject matter expert or technical lead and deal with various use cases, e.g., knowledge management with retrieval augmented chatbots implementing agent systems, or fine-tuning language models to enhance the efficiency of an NLP pipeline or process domain-specific language
You will implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)
You will support the development of products and of our offering portfolio and contribute to the creation of marketing content
You will have dedicated time to follow the latest developments in the field of NLP and AI (e.g., on repositories, methods, tools, papers) and stay up to date in order to offer the best solutions to our customers

Your profile

You have extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI.
You bring experience in applying common tools and methods for handling NLP use-cases such as LLM APIs (OpenAI Responses API, Bedrock, Azure AI Foundry), Frameworks (Instructor, Langchain, Langgraph, etc), HF Transformers+Tokenizers, vector databases, model deployment, inference servers, MCP/A2A, and dataset creation
You have experience in productive use of agent frameworks such as Langgraph, SmolAgents, OpenAI Agent SDK, CrewAI, PydanticAI and knowledge of typical LLM-based workflows such as conversational AI, RAG, information extraction, tool-calling uses, and LLM-based evaluation
You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text2SQL, and code retrieval
You have the ability to write clean, performant, and extensible code and get it into production
You built initial experience with cloud deployments and ML Ops e.g., on Azure, GCP, or AWS
You should also be a strong communicator, have very good German and English skills (at least C1 level), and be able to prepare and present complex issues in a way that is appropriate for the respective target group (business, tech)
You should be reliable and work in a thorough and structured manner
You should enjoy occasional business trips to our customers on site in DE/AT/CH

Our offer

Data & AI at the core: Work on diverse and challenging projects with leading clients across various industries – from data-driven solutions to innovative AI applications
Professional variety & growth: Tackle complex, multifaceted questions and continuously expand your expertise in your field as well as in the broader Data & AI landscape
Continuous development: We support your methodological, professional, and personal growth through regular feedback, tailored learning opportunities, training formats, and our mentoring program
Culture & collaboration: You’ll be part of an open, diverse, and respectful work environment with flat hierarchies, short decision-making paths, and a strong sense of team spirit
Modern ways of working: We embrace an iterative, modern work culture based on clear communication, ownership, and room for new ideas and creative freedom
Transparent compensation: We offer fair, structured, and transparent salary bands that are regularly reviewed and aligned with market and performance developments
Flexible work setup: Our modern Frankfurt office serves as your main workplace – while giving you the flexibility to work remotely on a regular basis and up to four weeks per year from within the EU
Mobility & well-being: Benefit from a subsidized Germany Ticket and discounted access to sports and wellness offerings through Wellpass
Equipment & extras: High-quality IT equipment (e.g., MacBook Pro), regular team events, childcare support, and attractive employee discounts complete your package

Your application

Simply apply via the application form and attach your current CV including a description of your methodological skills. We will contact you as soon as possible. If you have any questions on your application, you can reach us at jobs@statworx.com.

What is particularly important to us is that we value the uniqueness of each person and always treat each other as equals. Different backgrounds, attitudes and ideas enrich us and form the basis of our success. That's why we welcome every application - regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, or sexual orientation and identity.