Hands-on experience across multiple agentic AI projects, ideally spanning both industrial and academic environments. Should be comfortable working at the intersection of large language models, symbolic reasoning, knowledge representation, workflow orchestration, evaluation, and full-stack (web) product development. This is a role for someone who can move from research concepts to working systems: designing agent architectures, implementing reasoning workflows, testing reliability, building user-facing interfaces, and ensuring that agentic behaviour is interpretable, controllable, and robust. Key responsibilities Design and implement real-world agentic AI systems using modern agent frameworks and orchestration tools. Develop agentic workflows that go beyond chat, including complex analytical pipelines, multi-step research workflows, tool-using agents, knowledge-grounded agents, and structured decision-support systems. Work with knowledge-based AI architectures, including retrieval-augmented generation, knowledge graphs, symbolic rules, structured domain models, ontologies, and hybrid reasoning systems. Develop and apply mechanisms for controlling inference, including planning constraints, reasoning policies, guardrails, validation layers, tool-use control, and human-in-the-loop checkpoints. Explore and implement neuro-symbolic approaches for agentic reasoning, combining...
