Job Description
What You'll Do
- Deploy, scale, and operate ML and Generative AI systems in cloud-based production environments (Azure preferred).
- Build and manage enterprise-grade RAG applications using embeddings, vector search, and retrieval pipelines.
- Implement and operationalise agentic AI workflows with tool use, leveraging frameworks such as Lang Chain and Lang Graph.
- Develop reusable infrastructure and orchestration for GenAI systems using Model Context Protocol (MCP) and AI Development Kit (ADK).
- Design and implement model and agent serving architectures, including APIs, batch inference, and real-time workflows.
- Establish best practices for observability, monitoring, evaluation, and governance of GenAI pipelines in production.
- Integrate AI solutions into business workflows in collaboration with data engineering, application teams, and stakeholders.
- Drive adoption of MLOps / LLM Ops practices, including CI/...
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