🛠 Tech Stack

💼 About This Role

You'll architect and build end-to-end GenAI applications for diverse clients, using LangChain and LlamaIndex on Google Cloud. You'll lead the development of RAG pipelines and semantic search systems, ensuring robust, scalable production services. This role blends deep LLM expertise with a disciplined software engineering approach.

🎯 What You'll Do

• Design and implement end-to-end GenAI applications using Python and LangChain
• Develop advanced RAG pipelines and Semantic Search systems with GCP Vector Search
• Lead LLM and embedding fine-tuning for domain-specific performance
• Build and manage agentic workflows for complex multi-step reasoning

📋 Requirements

• Bachelor's or Master's degree in Computer Science or related field
• 5+ years of experience in AI/ML
• Proven track record of deploying GenAI products to production
• Experience with Classic Machine Learning (neural nets, training, tuning)

✨ Nice to Have

• Knowledge of Data Engineering and SQL
• Experience with Google Gemini or GPT-4