Added
12 days ago
Type
Full time
Salary
Salary not provided

Related skills

production sql python rag llm
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๐Ÿ“‹ Description

  • Analyze AI conversations, interaction data, and user feedback to identify opportunities to improve
  • Design, implement, test, and optimize prompt engineering strategies and conversational behaviors.
  • Optimize RAG pipelines, retrieval mechanisms, vector-based search, and overall retrieval quality.
  • Evaluate different LLMs and recommend the most effective models for specific product use cases
  • Define, track, and continuously improve AI quality metrics such as accuracy, relevance, latency
  • Design and execute structured experiments to assess AI improvements and determine their impact.

๐ŸŽฏ Requirements

  • 5+ years of professional experience in AI, machine learning, NLP, or a related technical field.
  • Strong practical understanding of LLMs, generative AI, and conversational AI systems.
  • Hands-on experience with prompt engineering, prompt evaluation, and LLM optimization.
  • Proven experience evaluating conversational AI using both qualitative and quantitative
  • Strong Python and SQL skills, with the ability to analyze data and build practical evaluation or
  • Knowledge of RAG architectures, vector databases, embedding models, and retrieval optimization.

๐ŸŽ Benefits

  • Remote-first working environment with flexibility across your local time zone.
  • Core working hours from 10:00 AM to 3:00 PM local time, with flexibility outside those hours.
  • 28 days of paid annual leave.
  • Referral bonuses and additional flash bonus opportunities.
  • High-quality, top-of-the-line work equipment.
  • Annual company retreats designed to strengthen collaboration and internal networking.
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