Job Description
📋 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
