Added
15 days ago
Type
Full time
Salary
Salary not provided

Related skills

sql python prompt engineering rag llm

๐Ÿ“‹ Description

  • Analyze AI conversations, interaction data, and user feedback to improve response quality and user
  • Design, implement, test, and optimize prompt engineering strategies.
  • Optimize RAG pipelines, vector-based search, and retrieval quality.
  • Evaluate LLMs and recommend models for product use cases; explore customer-specific models.
  • Define and improve AI quality metrics and run structured experiments.
  • Develop evaluation frameworks, benchmarks, and testing methodologies.

๐ŸŽฏ Requirements

  • 5+ years in AI, ML, NLP, or related field.
  • Strong practical understanding of LLMs, generative and conversational AI.
  • Hands-on prompt engineering, evaluation, and LLM optimization.
  • Experience evaluating conversational AI with qualitative and quantitative methods.
  • Strong Python and SQL skills; ability to build evaluation/workflows.
  • Experience with AI evaluation frameworks, benchmarking, and systematic assessment.

๐ŸŽ Benefits

  • Competitive salary with performance-based bonuses.
  • Remote-first environment with flexible local time zone.
  • Core hours 10:00-15:00 local, flexible outside those hours.
  • Referral bonuses and additional bonus opportunities.
  • High-quality equipment and annual company retreats.
  • Opportunity to work on impactful AI products.
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