Agentic AI Engineer

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