At Trilagi, were tackling one of the most persistent challenges in modern IT operations: understanding why systems fail. Our research project is building an intelligent diagnostic system that revolutionize cloud platform operations through generative AI solutions.
Youll be working on cutting-edge research that bridges computational linguistics and distributed AI systems. Were developing novel approaches that address fundamental gaps in current scientific knowledge:
Advanced semantic processing of heterogeneous technical data
This is genuinely novel research—were creating the mathematical foundations and algorithms that dont yet exist in academic literature or commercial products.
This isnt purely academic research. Youll see your work evolve from mathematical models through experimental validation to a working prototype tested on real data from production environments. Your research will be published in conferences, and the resulting system will be deployed commercially.
Youll have the creative freedom to explore multiple approaches, the resources to test ambitious ideas, and the satisfaction of contributing both to scientific knowledge and practical solutions that teams will use every day.
responsibilities :
Design and implement system architecture integrating data processing with LLM-based components
Research and develop hierarchical multi-agent architectures with custom communication protocols
Develop experimental frameworks and evaluation pipelines for testing different algorithmic strategies
Build agent orchestration systems with specialized roles and validation mechanisms
Conduct controlled experiments and A/B testing comparing different system configurations
Integrate data processing with multi-agent communication into unified prototype
Optimize end-to-end system performance, latency, and resource utilization
Integrate prototype with production IT infrastructure and validate in real-world environments
Document architectural patterns and implementation best practices
requirements-expected :
MSc in Computer Science, AI, Software Engineering or related field
Strong expertise in LLM-based applications and prompt engineering
Experience with deep learning frameworks (PyTorch or TensorFlow)
Solid experience with RAG (Retrieval-Augmented Generation) architectures
Experience with vector databases
Experience with multi-agent systems and agent orchestration frameworks
Proficiency in Python and modern software development practices
Experience with asynchronous programming and distributed systems
Understanding of system architecture patterns and API design
Ability to build experimental frameworks and conduct controlled testing
Experience with performance profiling and optimization
Strong problem-solving and debugging skills
Ability to work independently across multiple project phases
Good command of Polish and English
offered :
Fully Remote: Work from anywhere in Poland
Research Autonomy: High degree of independence in experimental design and methodology
Small Expert Team: Direct collaboration with research leaders, minimal bureaucracy
Startup Mentality: Fast decision-making, open communication, impact-focused culture
Modern Infrastructure: Access to cloud computing resources, latest AI tools and frameworks
Cutting-edge research: Work on unsolved problems at the frontier of AI applications
Scientific impact: Co-author publications in journals or conferences
