Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software……
MSc in in Chemistry, Materials Science, Chemical Engineering or Physics with with no previous professional experience; or equivalent experience preferably in……
Bachelor's degree or higher in business, computer science, engineering, economics, mathematics, social sciences or related field with first (1+ year) experience……
Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software……
Concepts like agent assembly lines, execution harnesses, or context engineering are familiar to you—you know how to embed them into secure and scalable……
Support of daily process engineering tasks (e.g. hold lot disposition, etc.). Support of continuous improvement programs (e.g. technical analysis & monitoring……
Integration of AI models and interfaces into local engineering environments. Interest in mechanical product development and ability to work effectively within……
You have a degree, or are close to graduation, in computer science, informatics, software engineering, information technology or a related field.…
You have completed (or are about to complete) a degree in computer science, business informatics, business mathematics, mathematics, AI engineering or a related……
Completed training in the field of electrical engineering (HTL, FH or comparable training). Project preparation and software creation (PLC and visualisation).…
Degree in Electronics Engineering or a related field (HTL, Bachelor’s, or Master’s degree). Contribute to the continuous improvement of design processes,……
2+ years as an AI Engineer or equivalent experience. Experience building backend services in a strongly typed language (Rust, Scala, Go, or similar).…
Education: Enrolled in a Bachelor's or Master's program in afield from the technical disciplines, Economics, Business Administration, Media and Communication or……
Preparing monthly progress report summarizing project status, with emphasis on engineering. Reviewing and evaluating design calculations and data from an……
Machine Learning & Data Science: Build and improve ML models that drive personalization and customer insights - e.g. segmentation, churn and behavior prediction……
Experience in one or more of the following areas is a plus: measurement and test engineering, vacuum technology, cleanroom environments, software development.…
AI solution analysis, design and implementation; More than 5 years of experience in applying software engineering principles; Development of AI/ML models;…
Master’s degree in finance, economics, accounting, engineering, or a related quantitative field. 3–4 years of experience in financial modeling, valuation, and……
Support equipment upgrades and engineering changes. Completed technical education (HTL) in Electronics, Electrical Engineering, Mechatronics, Automation, or a……
Developing or supporting AI-powered tools or agents for automated quality insights and decision support. Technical degree (Bachelor or Master) with experience……
Studies in the field of engineering, automotive engineering, mechanical engineering, or comparable. PREPARATION... of the data basis to support cost & value……
Interested in the peripheral aspects of component engineering such as cost analysis and logistics. Electrical Engineering/Engineering Physics or corresponding……
3+ years in manufacturing engineering / process engineering. Strong communication with engineering and shopfloor teams. Validate process impact of changes.…
Ongoing studies at a university or university of applied sciences in business informatics, computer science, software engineering or a comparable technical……
Education: Currently pursuing a Bachelor's or a Master's degree in Business Management, Communication, Innovation Management, Information Technology, Electrical……
Junior Research Engineer in Agentic Engineering with LLMs f/m/d - GREET Project
Graz
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Phd Fellowship
The Doctoral Candidate will be employed for 36 months as part of the "Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments (GREET)" project, funded by Horizon Europe under the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks, Grant No. 101226624. The Doctoral Candidate will be enrolled in the PhD program at Vienna University of Technology (TU Wien), Faculty of Informatics, with the 36-month appointment based at AVL in Graz, Austria, under conditions aligned with MSCA regulations for Doctoral Candidates.
GREET (Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments) is a European doctoral network comprising 13 academic and industrial partners across nine countries. The network brings together expertise in AI explainability, transparency, cyber-physical systems, and advanced software engineering. Doctoral Candidates benefit from a coordinated training program combining research, industry exposure, and transferable skills development while working on advanced AI technologies in an international, collaborative environment.
As a Doctoral Candidate at AVL, you will conduct research in Agentic Engineering, focusing on the systematic application of agentic AI approaches - particularly Large Language Models (LLMs) and AI agent systems - to complex automotive and powertrain engineering challenges. Your research will develop AI agents capable of reasoning, planning, and autonomous problem-solving within engineering workflows.
YOUR RESPONSIBILITIES:
Design and architecture of reasoning and decision-capable AI agent systems for automotive applications
Integration of LLMs and retrieval-augmented generation (RAG) techniques into engineering workflows
Development of frameworks for agent autonomy, verification, and explainability in technical domains
Apply agentic systems to real-world engineering challenges in powertrain and vehicle systems development
Collaboration with academic partners on fundamental AI explainability and transparency research
YOUR PROFILE:
Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software Engineering, or a closely related discipline; completion by August 2026 at the latest and eligibility for admission to a doctoral program are required
Strong foundational knowledge in Large Language Models, AI agents, machine learning, software architecture or cyber-physical systems
Experience in LLM/RAG software development with Python and SQL; Rust or comparable systems-level programming skills are an advantage
Ability to work independently and collaborate effectively in interdisciplinary teams
Very good knowledge in English
WE OFFER:
Various working time models, flextime and the possibility of working from home
Contributing to a safer and more sustainable future of mobility
Food trucks, snack bar and canteen with freshly cooked daily menus
Events, e.g. summer festival, Oktoberfest, AVL Christmas parties or after-work events
Training and development programs for your individual career growth
Annual Remuneration: Due to the Austrian Equal Treatment Act we are obligated to state the annual gross remuneration (full-time) for this position as a basis for negotiation: €53.270,00. The Employee will be classified according to the Collective Agreement for Employees of Industry (Collective Bargaining Agreement of the Automotive Industry). We will, in any case, offer market-conforming payment taking qualifications and professional experience into account.
Interested?
If so, please use our online application tool to send your application to AVL!
At AVL, we foster and celebrate diversity: We recognize that diverse ways of thinking are required to achieve our vision of a greener, safer, and better world of mobility. Different backgrounds, attitudes, interests, and experiences make us successful. As Equal Opportunity Employer we consider all qualified applicants without regard to ethnicity, religion, gender, sexual orientation or disability status.
AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.
Find out more: www.avl.com
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AVL is not just about cars. It's about changing the future. Together.
AVL is one of the world’s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.