🛠 Tech Stack

💼 About This Role

You'll architect and build end-to-end GenAI applications using Python, LangChain, and LlamaIndex on Google Cloud. You'll develop advanced RAG pipelines and Semantic Search systems to productionize AI features like document intelligence. You'll collaborate directly with clients to translate business needs into scalable, ethical AI architectures.

🎯 What You'll Do

• Design and implement end-to-end GenAI applications using Python, LangChain, LlamaIndex on GCP.
• Develop advanced RAG pipelines and Semantic Search systems with GCP Vector Search or Pinecone.
• Lead LLM and Embedding fine-tuning to improve domain-specific performance.
• Build and manage agentic workflows for complex multi-step reasoning tasks.

📋 Requirements

• Python and shell scripting mastery.
• Google Gemini, GPT-4, or LLaMA experience.
• Vector Databases (Vertex AI Vector Search, pgvector) and Semantic Search expertise.
• LangChain and LlamaIndex or similar orchestration frameworks.

✨ Nice to Have

• Experience with Classic Machine Learning (neural nets, training, tuning).
• Knowledge of Data Engineering and SQL.
• Experience with MLOps best practices.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 💰 Competitive Salary
• 🏥 Health Insurance
• 📚 Learning & Development
• 🏠 Remote Work