Added
1 day ago
Type
Full time
Salary
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Related skills

python google cloud langchain llamaindex vector search

📋 Description

  • Architect & Build end-to-end GenAI apps using Python, LangChain, and LlamaIndex on Google Cloud
  • Develop advanced RAG pipelines and Semantic Search with Google Cloud Vector Search or Pinecone
  • Lead LLM and Embedding fine-tuning for domain performance
  • Design agentic workflows to automate multi-step reasoning tasks
  • Collaborate with customers to translate requirements and implement AI features
  • Apply MLOps practices to monitor and continuously improve models

🎯 Requirements

  • Bachelor’s or Master’s in CS/Engineering or related field
  • 5+ years in AI/ML; proven GenAI production deployments
  • Experience with neural nets, training, tuning; Data Engineering and SQL knowledge
  • Core languages: Python and shell scripting
  • AI/LLM ecosystem: Google Gemini, GPT-4, or LLaMA; Prompt Engineering and Fine-tuning
  • Data & Search: Vector DBs (Vertex AI Vector Search, pgvector) and Semantic Search

🎁 Benefits

  • Competitive salary and comprehensive benefits
  • Health insurance, PTO, holidays, sick leave, parental leave, bereavement
  • 401(k) employer match and referral bonuses
  • Benefits details: https://egen.ai/people/#benefits
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