🛠 Tech Stack

💼 About This Role

You'll design and build infrastructure for advanced LLM and Agentic applications within the Google Cloud ecosystem. Your core impact will be owning the end-to-end lifecycle of AI models, from prototyping to production. You'll partner with global teams to translate business needs into technical AI specifications.

🎯 What You'll Do

• Develop Python code for LLM orchestration using LangChain and LangGraph
• Design agent-based systems for multi-step reasoning and autonomous task execution
• Architect data pipelines in GCP (BigQuery, Pub/Sub, Dataflow) for RAG
• Own end-to-end AI model lifecycle from prototyping to production MLOps

📋 Requirements

• 3+ years in AI/ML engineering
• Proven experience building LLM applications with LangChain or similar
• Hands-on expertise with Google Cloud Platform (GCP) including Vertex AI
• Strong proficiency in Python and SQL

✨ Nice to Have

• Knowledge of Vector Databases (Vertex AI Search, Pinecone, or Weaviate)
• Experience with AI model fine-tuning and RAG

🎁 Benefits & Perks

• 🏖️ Flexible time off
• 🏥 Health insurance
• 📈 Professional development opportunities

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min