About this role
Design and develop algorithms for AI assistants and agentic applications (including LLM post-training, SFT, MoE, and preference alignment via RL), build LLM-powered recommendation systems and production-ready LLM applications integrating tools and knowledge, and develop agent engineering, evaluation frameworks, and experimentation pipelines while collaborating with product, data, and engineering teams.
Skills for this role
LLM post-trainingSupervised fine-tuning (SFT)Mixture-of-Experts (MoE)Reinforcement LearningDPOGRPORetrievalCoarse rankingFine rankingUser sequential modellingSemantic representation learningGenerative recommendationProduction-ready LLM developmentTool integrationAPI integrationKnowledge base integrationMemory systemsAgent loop orchestrationGraph orchestrationPlanningReasoningTool selectionMulti-agent collaborationTask delegationSkill designSkill miningSkill lifecycle managementContext managementMemory managementKnowledge management