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, text-to-2SQL, and code retrieval”
The ad says“You have experience with cloud-based deployments and MLOps workflows on platforms such as Azure, GCP, or AWS”
The ad says“You have experience with cloud-based deployments and MLOps workflows on platforms such as Azure, GCP, or AWS”
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, text-to-2SQL, and code retrieval”
The ad says“You have extensive knowledge and at least 5 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs and generative AI”
The ad says“You have knowledge of PEFT (e.g. QLoRA), IFT, inference time tuning, post-training, embeddings, and a solid foundational knowledge of frameworks such as PyTorch”
The ad says“You have experience with cloud-based deployments and MLOps workflows on platforms such as Azure, GCP, or AWS”
The ad says“You have extensive knowledge and at least 5 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, text-to-2SQL, 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 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, inferenceservers, 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, inferenceservers, 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, inferenceservers, MCP/A2A, and dataset creation”
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 have extensive knowledge and at least 5 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 5 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs and generative AI”
The ad says“You have experience with cloud-based deployments and MLOps workflows on platforms such as Azure, GCP, or AWS”
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, text-to-2SQL, and code retrieval”
The ad says“You have knowledge of PEFT (e.g. QLoRA), IFT, inference time tuning, post-training, embeddings, and a solid foundational knowledge of frameworks such as PyTorch”
The ad says“You have knowledge of PEFT (e.g. QLoRA), IFT, inference time tuning, post-training, embeddings, and a solid foundational knowledge of frameworks such as PyTorch”
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, text-to-2SQL, 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 have extensive knowledge and at least 5 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, inferenceservers, 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: Designing and implementing complex GenAI and NLP AgenticAI solutions at scale

As part of customer projects, you design Generative AI and NLP systems that effectively address customer challenges and use cases in terms of performance, latency, cost, scalability, and complexity
You regularly engage with various stakeholders and customer representatives, ensuring close collaboration and alignment
You act as a developer, expert, or technical lead and work on diverse use cases, such as 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 guide as a Technical Lead less experienced team members, support their work, and provide constructive feedback and mentorship
You will contribute as an expert to multiple projects as needed to solve complex problems
You plan and implement robust, scalable, and high-performance ML pipelines following the latest ML Ops and LLM-Ops best practices, working across various infrastructures, including Azure, AWS, and GCP
You support the development of products, contribute to expanding our service portfolio, and assist in creating marketing content
You present solution proposals and handle technical communication with customer representatives during the acquisition process
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 5 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, inferenceservers, 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 have initial experience as a technical lead
You acquired knowledge of, and ideally hands-on experience with, state-of-the-art approaches such as agentic RAG, graphRAG, multi-agent workflows, text-to-2SQL, and code retrieval
You have knowledge of PEFT (e.g. QLoRA), IFT, inference time tuning, post-training, embeddings, and a solid foundational knowledge of frameworks such as PyTorch
You are able to write clean, performant, and extensible code and successfully bring AI systems into production
You have experience with cloud-based deployments and MLOps workflows on platforms such as Azure, GCP, or AWS
You provide technical guidance and leadership, including mentoring and supporting less experienced team members
You are a strong communicator with very good German (at least B2) and excellent English (C1 or higher). You can prepare and present complex topics appropriately for both technical and business audiences
You stand out through reliability, thoroughness, and a structured approach to your work
You enjoy occasional business trips to visit customers on site in Germany, Austria, and Switzerland

Our offer

Data Science & AI consulting as core business with exciting projects and state-of-the art NLP use cases at well-known customers
Interesting professional challenges, steep learning curve, further expansion of your expertise and opportunity to take over responsibility
Extensive methodological and personal development opportunities
Small, dynamic team with flat hierarchies 
Short decision-making paths and agile processes 
Performance-based, attractive compensation package 
A modern, high-quality furnished office that invites you to exchange ideas and linger, as well as the opportunity to work flexibly from other locations, including up to 4 weeks from other EU countries
Reduced public transport ticket (Jobticket Deutschland) and access to a wide range of sports and wellness offers (Wellpass) at a reasonable price
And many other benefits, such as Apple IT equipment (MacBook Pro), regular team events, employee discounts, childcare support, free drinks, fruit and snacks

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.