1. 5-6 years in applied AI, NLP, or multi-agent systems
2. Experience with LLM optimization, prompt design, and retrieval-augmented workflows
3. Robust Python and familiarity with Hugging Face / LangChain / OpenAI APIs
4. Understanding of evaluation, context management, and memory architectures
5. A research-minded, production-aware approach focused on real-world reliability
6. Build and optimize LLM-powered systems for reasoning, retrieval, and adaptive execution
7. Design multi-turn interaction models for contextual planning and collaboration
8. Develop and refine embedding strategies for semantic retrieval and workflow grounding
9. Work with Platform and Product teams to translate research into production systems
10. Contribute to responsible scaling frameworks ensuring explainable, reliable, and secure AI

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📌 Applied AI Scientist (Bengaluru)
🏢 Brained
📍 Bengaluru