Applied AI Scientist

Job Description:

Responsibilities

• Build and optimize LLM-powered systems for reasoning, retrieval, and adaptive execution
• Design multi-turn interaction models for contextual planning and collaboration
• Develop and refine embedding strategies for semantic retrieval and workflow grounding
• Work with Platform and Product teams to translate research into production systems
• Contribute to responsible scaling frameworks ensuring explainable, reliable, and secure AI

Qualification & Experience    

• 5–6 years in applied AI, NLP, or multi-agent systems
• Experience with LLM optimization, prompt design, and retrieval-augmented workflows
• Strong Python and familiarity with Hugging Face / LangChain / OpenAI APIs
• Understanding of evaluation, context management, and memory architectures
• A research-minded, production-aware approach focused on real-world reliability