Location
Hybrid (Sarajevo, Bosnia and Herzegovina)
First seen by Alion on Nov 4, 2026.
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AI Engineer Lokacija: Sarajevo (hybrid)
ABOUT PROSAFETY ProSafety is an international development service provider in the field of embedded systems. ProSafety develops software solutions for applications in process, industrial and mobile automation, power electronics, railways and medical engineering based on specific customer requirements. High standards in certified processes of our development areas ensure the required quality. We offer our customers complete product development for the global market. One special focus of our activity is functional safety. Flexibility is one of our great strengths: We see ourselves as a service company, fully geared to the requirements of our customers. As a technology provider, we build up know-how with foresight and continuously train our employees. A successful and future-oriented company structure creates space for further growth.
YOUR PROFILE
- Master's or Bachelor's degree in Computer Science, Artificial Intelligence / Machine Learning, Mathematics, Physics, Embedded Systems Engineering, or a comparable technical field
- Professional experience in software development and strong proficiency in Python
- Solid knowledge of modern software engineering practices, including version control, testing, and containerization
- Practical experience or strong technical knowledge in at least one of the following areas: Large Language Models and RAG systems, agent frameworks such as LangChain or LangGraph, Kubernetes/OpenShift, or relational and vector databases
- Experience with document ingestion, embeddings, retrieval, or comparable AI/data pipelines is an advantage
- Knowledge of LLM serving technologies such as vLLM, GitOps tools such as ArgoCD, FastAPI, Docker, Prometheus/Grafana, or standards-driven development environments is an advantage
- Ability to work independently, structure complex technical problems, and communicate technical decisions clearly
- Communicative, proactive, and comfortable working across technical teams and business functions
- Languages: English is required, German is desirable
- Develop and extend our existing Retrieval-Augmented Generation (RAG) system and contribute to its evolution toward specialized AI agents and multi-agent systems
- Design and implement LLM-based workflows for concrete internal use cases, such as requirements extraction from technical documentation, knowledge management, employee onboarding, and research across technical standards
- Take AI use cases from initial concepts and prototypes to reliable, production-ready solutions
- Develop and maintain data pipelines for document ingestion, embedding generation, and retrieval
- Work with relational and vector databases and develop retrieval strategies, including hybrid retrieval
- Develop and integrate AI agents using modern agent frameworks and orchestration approaches
- Contribute to the operation and further development of our AI infrastructure on OpenShift and Kubernetes
- Apply modern software engineering practices, including version control, testing, containerization, and CI/CD
- Support deployment, monitoring, and observability of AI services and workflows
- Work closely with the AI team, engineering teams, and internal domain experts
- Contribute technical perspectives and ideas to the further development of our AI architecture and strategy
- Innovative and varied tasks in the development of tailor-made solutions for our customers
- An attractive workplace
- Convenient location as well as very good accessibility by public transport
- High degree of self-determination and short decision-making paths
- Collegial cooperation and flat hierarchies
- Internal and external training and further education opportunities
- Flexible working hours
We look forward to hearing from you!
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