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Job Description
📋 Description Architect & Build GenAI apps with Python, LangChain, LlamaIndex on Google Cloud Develop advanced RAG pipelines and Semantic Search via Google Cloud Vector Search or Pinecone Lead LLM and Embedding fine-tuning for domain performance Build and manage agentic workflows for multi-step reasoning Collaborate with customers to define requirements and new AI features Productionize with MLOps for scalable, monitored models 🎯 Requirements Bachelor’s/Master’s in CS/Engineering or related field 8+ years AI/ML experience; proven GenAI production deployments Experience with neural nets, training, tuning; data engineering and SQL Core languages: Python; AI/LLM ecosystem: Google Gemini, GPT-4, or LLaMA Data & Search: Vector databases (Vertex AI Vector Search, pgvector); semantic search Infrastructure: Google Cloud (Vertex AI); scalable software architectures 🎁 Benefits Comprehensive health insurance Paid leave (vacation/PTO), holidays, sick leave, parental leave, bereavement 401(k) employer match; employee referral bonuses Benefits list at https://egen.ai/people/#benefits
