Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
Master's degree or above, with at least 3 years of hands-on experience in Reinforcement Learning (RL), Reinforcement Learning from Human Feedback (RLHF), or Reinforcement Learning with Verifiable Rewards (RLVR). Experience in Agent-related projects is preferred.
- Develop overall concepts for improving the user experience within a business webpage or product, ensuring all interactions are intuitive and convenient for customers.
Build and integrate LLM and agent-powered backend capabilities where they unlock product value (e.g., automated workflows, intelligent data processing, agent-driven user experiences)
Define engineering patterns, contribute to the interview and hiring process, and mentor junior FDEs into independent contributors. Coach others on system design, customer engagement, and production operations. Drive engineering excellence standards within your scope.
· Good knowledge of Python programming and automation is an advantage, particularly for utilities, integration, testing, and producer/consumer development.
Build engineering frameworks and delivery pipelines from scratch, systematically embedding modern AI-assisted tools and agentic workflows to boost productivity.