- Agentic AI Development: Design and deploy autonomous agents using Azure AI Agent Service and related tools. Define agent logic, goals, and collaboration flows.
- End-to-End Ownership: Work on solutioning from design to deployment and scaling of multi-agent systems.
- Cloud Integration: Leverage Azure services like AI Studio, OpenAI, Azure ML, Functions, and Kubernetes for deployment and orchestration.
Requirements:
- Graduate/Postgraduate
- Robust proficiency in Python for AI workflows, APIs, and automation.
- Understanding of agent orchestration, stateful logic, decision systems, and tool-using agents.
- Familiarity with prompt engineering, RAG, or LLM fine-tuning.
- Knowledge of cloud-native architecture, APIs, event-driven systems, and secure deployments
📌 AI Engineer (Hyderabad)
🏢 Nameless
📍 Hyderabad
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