Agentic AI Engineer
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- 3 years of experience in AI/ML engineering, software development, and building and deploying production AI systems.
- Hands-on experience designing agentic AI systems and multi-agent workflows using frameworks such as Lang Graph, LangChain, or Azure AI Agent Service.
- Experience developing LLM-powered applications and retrieval-augmented generation (RAG) pipelines with vector databases and embedding-based retrieval.
- Solid Python programming with experience in AI/ML frameworks (PyTorch, TensorFlow, or Scikit-learn).
- Deploy, scale, and operate AI workloads on Azure (Azure OpenAI, Azure AI Foundry, Azure Kubernetes Service), optimizing for performance, cost, and reliability.
- Build and maintain MLOps/LLMOps pipelines using Docker, CI/CD, and Git for continuous deployment and monitoring of AI services.
- Implement observability, logging, and evaluation to monitor model quality, latency, and drift of agentic systems in production.
- Collaborate with product managers, data scientists, and consulting teams to translate business problems into robust, scalable AI solutions