Research Fellow (AI / Computer Science / Machine Learning / NLP)
Core
Leading the Digital ATCO Assistant's knowledge, retrieval, reasoning, and agent orchestration capabilities using LLMs and Agentic AI.
Role type
Senior IC research fellow (Agentic AI / NLP)
Builds
Agentic AI and multi-agent architectures, RAG pipelines, and tool/function calling capabilities for an air traffic control assistant.
Domain
Aviation safety-critical domain + Agentic AI / NLP
Deliverable
production ML models
Required skills
LLMs, Agentic AI, multi-agent architectures, RAG, vector databases, semantic retrieval, knowledge graphs, Python, PyTorch, API integration, evaluation of retrieval precision/recall
Preferred skills
LoRA/PEFT, in-context learning, Graph RAG, temporal RAG, hybrid symbolic-neural reasoning, on-premise deployment, inference optimisation
Technologies
PyTorch, vector databases, knowledge graphs, microservices
Responsibilities
Design and develop Agentic AI and multi-agent architectures for task decomposition and workflow orchestration; Develop tool/function calling capabilities for agents to invoke APIs and knowledge services; Build end-to-end RAG pipelines using vector databases and knowledge graphs; Design benchmarks and conduct experiments to evaluate agent performance and hallucination; Expose agent capabilities through APIs and microservices for integration; Translate operational use cases into research requirements and test scenarios; Contribute to technical reports, publications, and project proposals.
Seniority
Senior, hands-on IC
