Lead architecture and deployment of scalable GenAI/ML systems to production.
Develop end-to-end GenAI features: APIs, model integration, monitoring.
Integrate and optimize LLMs for planning use cases, with prompt engineering.
Build conversational interfaces and agentic workflows for natural language planning tasks.
Implement evaluation frameworks for GenAI quality: accuracy, latency, satisfaction.
Design APIs exposing AI capabilities to Anaplan's platform and integrations.

🎯 Requirements

Extensive hands-on experience in AI/ML or related engineering domains.
End-to-end model lifecycle: training and deploying ML models in production.
Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns.
Experience in fine-tuning LLMs for domain-specific enterprise apps.
Strong MLOps/LLMOps for scalable, reliable deployments.
Proficiency in Python and modern software dev practices (CI/CD, testing).

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