Lead architecture, design, and deployment of GenAI/ML systems into production.
Develop end-to-end GenAI features incl APIs, model integration, monitoring.
Integrate and optimise LLMs for business planning (prompt engineering, RAG).
Build conversational interfaces and agentic workflows for natural language tasks.
Implement evaluation frameworks to measure GenAI quality (accuracy, latency).
Design and develop 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 development, including 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 applications.
Strong expertise in MLOps and LLMOps for scalable deployments.
Experience with agentic frameworks and autonomous agent architectures.

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