Job Description

SF startup looking for a cracked Mechanical Engineer who wants to join ther mission of making deep-tech hiring 10x more reliable

Focus: AI-driven scoring, evaluation, and learning systems

Responsibilities

  • Design and implement Retrieval-Augmented Generation (RAG) pipelines for assessment

evaluation and feedback

  • Explore and apply Reinforcement Learning (RL) techniques to improve scoring,

guidance, or adaptive assessments

  • Work with multimodal data (text, structured outputs, interaction logs, etc.)
  • Collaborate with product and engineering teams to productionize AI systems

Required Background

  • Strong experience with applied AI/ML systems
  • Hands-on experience with RAG architectures and LLM-based pipelines
  • Familiarity with RL concepts and practical implementations
  • Ability to deploy and maintain AI systems in production environments

Skills: reinforcement learning,llm,rag
Skills Required
reinforcement learning

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