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AI Engineer (m/f/d)

Statworx·Salary not specified

Primary stack

Machine LearningAINLPLangGraphCrewAIPydanticAILangChain

Nice to have's

Communication

Job description

About the Position

AI Engineer (m/f/d)

Frankfurt am Main

Full-time

Permanent employee


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.


Responsibilities

  • 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
  • Have close contact with various stakeholders and representatives of our customers on a regular basis
  • 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
  • Implement robust, extensible, and performant ML pipelines according to current ML Ops or LLM-Ops best practices, working on different infrastructures (Azure, AWS, GCP)
  • Support the development of products and our offering portfolio and contribute to the creation of marketing content
  • 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

Requirements

  • Extensive knowledge and at least 2 years of experience in Machine Learning & Deep Learning, especially with respect to Transformers, LLMs, and generative AI
  • 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
  • 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
  • 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
  • Ability to write clean, performant, and extensible code and get it into production
  • Initial experience with cloud deployments and ML Ops e.g., on Azure, GCP, or AWS
  • Strong communicator with very good German and English skills (at least C1 level) and ability to prepare and present complex issues in a way that is appropriate for the respective target group (business, tech)
  • Reliable and work in a thorough and structured manner
  • Enjoy occasional business trips to our customers on site in DE/AT/CH

We 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 [email protected].

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.

© Statworx. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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