Principal ML Engineer (Agentic AI)-Vendor Data Team

We are on a lookout for a hands-on Principal ML Engineer (Agentic AI) to join the Vendor Data Team on our journey to always deliver amazing experiences to go beyond prompt engineering into autonomous orchestration: designing agents that generate their own prompts, tools that empower AI with real-world actions, and judge models that validate outputs. Your work won’t sit in research notebooks — it’ll ship.

The Agentic AI team is building the next generation of AI-native products — intelligent systems that reason, act, and adapt. We combine the power of large language models (LLMs), autonomous agents, and retrieval-augmented generation (RAG) to move beyond static prompts and chatbots into dynamic AI systems that solve real problems at scale.

We don’t treat LLMs as tools to micromanage — we treat them as collaborators. Our products are designed to build and evolve themselves, leveraging AI to orchestrate workflows, make decisions, and continuously improve. If you’re ready to stop building brittle bots and start building AI that builds AI — this is your playground.

Key Responsibilities:

• Design and own end-to-end ML and data systems — from ingestion and transformation to model integration and production deployment

• Architect and maintain scalable data pipelines for RAG, embeddings, and real-time/near-real-time data processing

• Build and operate production-grade ML services and APIs, ensuring reliability, scalability, and performance

• Define standards for infrastructure, deployment, and system reliability, including Infrastructure as Code, containerization, and orchestration

• Integrate ML systems with external APIs, tools, and operational platforms, enabling real-world actions and automation

• Establish monitoring, evaluation, and observability frameworks across data, models, and systems, while mentoring engineers and setting technical direction.