Senior AI Application Engineer
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Nice to have's
Job description
About the Position
Senior AI Application Engineer
We are looking for a passionate and skilled Senior AI Application Engineer to join our AI Solution Team. Your role will involve implementing, training, and deploying AI-supported business processes, ranging from AI-guided data analysis and LLM-supported hotlines to computer-vision-assisted quality assurance and AI-generated BI reporting.
Work Hours: 38.5 h/week | Start Date: from 01.07.2026 | Gender: m/f/d
Responsibilities
- Developing and extending AI/ML-driven software components for MES (Manufacturing Execution Systems).
- Designing, training, and deploying machine learning models (e.g., Transformers, LLMs) for optimizing production processes, predictive maintenance, and decision support.
- Working with relational databases (e.g., Oracle, PostgreSQL) for structured data modeling, queries, and performance optimization.
- Utilizing vector databases (e.g., Weaviate, Milvus) for embedded storage, similarity searches, and AI-driven data queries.
- Implementation of graph databases (e.g., Neo4j) for knowledge graphs, relationship modeling, and AI workflow orchestration.
- Creation and maintenance of LLM-based pipelines and agents using LangChain and LangGraph (e.g., agentic workflows, RAG pipelines, tool-calling agents, prompt engineering).
- Participation in agile Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives).
- Collaboration with subject matter experts to translate MES/industry requirements into AI-driven solutions.
- Creation and maintenance of technical documentation to ensure the transparency of AI models, reproducibility, and software quality.
Requirements
- Completed degree in computer science, software engineering, data science, or a related field.
- At least 2 years of relevant professional experience.
- Solid practical experience with LangChain and/or LangGraph for developing LLM applications and agent-based systems.
- Good understanding of transformer architectures and experience with frameworks such as Hugging Face Transformers.
- Practical knowledge of machine learning fundamentals (supervised/unsupervised learning, model evaluation, fine-tuning).
- Proficiency in Python as the primary development language is preferred; knowledge of Java is an advantage.
- Experience with ML tools and ecosystems (e.g., PyTorch, scikit-learn, FAISS/vector storage, LLM provider APIs).
- Basic knowledge of relational databases (SQL) is an advantage.
- Strong analytical skills, a willingness to learn, and a structured approach to work.
- Team-oriented mindset and good communication skills in agile environments.
- Good written and spoken English skills.
We Offer
- Work in an international and agile development team.
- Entry into a professional MES development environment with experienced mentors.
- Insight into exciting industry projects and modern technologies.
- Supportive work atmosphere, structured onboarding, and continuous learning.
- Modern working methods (Scrum, CI/CD, test automation).
- A fantastic, open, and dedicated product development team.
- Flexible working hours thanks to flextime agreements and individual working time models.
- First-class product with a constantly growing customer base and long-standing top customers.
- Individual career advancement opportunities with responsibility, creative freedom, and development opportunities.
- Exciting range of tasks with varied tasks and interesting insights into top industrial companies.
- Job bike option: Classic, sporty, or electric? Your job bike gets you to work in an environmentally friendly way and everywhere else you need to go.
- Friendly working environment with a respectful atmosphere.
Your salary will depend on your qualifications and experience, and we will determine it together with you. The minimum salary is between EUR 46,000 and 56,000 (ST1 entry-level to standard) gross per year (full-time, 38.5 hours). We are prepared to offer a significantly higher salary depending on your specific qualifications.
We look forward to receiving your application!
Martina Rels
Human Resources
+43 732 6978 - 74
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