Design and deploy production AI/ML systems for support workflows.
Build and scale LLM-powered solutions (RAG, routing, sentiment, auto-responses).
Develop conversational AI and agentic workflows for autonomous case handling.
Identify AI leverage points and translate into automation initiatives.
Own end-to-end AI initiatives from ideation to deployment and monitoring.
Establish MLOps: versioning, observability, retraining pipelines.

🎯 Requirements

7+ years of software engineering experience, 4+ years in AI/ML.
Strong Python and ML frameworks (PyTorch, TensorFlow, HuggingFace).
Production NLP/LLM systems experience.
Designing and implementing RAG architectures and vector databases.
Cloud ML deployment (AWS) and containerized apps (Docker, Kubernetes).
Strong MLOps, monitoring, and production observability.

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