Job Description
Job Description
• Design & deliver GenAI solutions: Architect and implement LLM/LVM applications (text and, where applicable, vision) with strong emphasis on Microsoft Azure AI Foundry capabilities and LangGraph-based agentic workflows. This includes advanced prompt strategies, guardrails, evaluation metrics, cost/latency optimization, and production rollout.
• Build robust RAG systems: Stand up end-to-end RAG pipelines (ingestion → chunking → embedding → retrieval → synthesis) leveraging Foundry orchestration and LangGraph agents, with observability, feedback loops, and AB testing for groundedness and hallucination control.
• Develop agentic workflows: Implement multi-step, tool-using agents using LangGraph for real-time, context-aware operations; orchestrate planning, memory, and tool calling with safe execution policies.
• Fine-tune foundation models: Select, adapt, and fine-tune open and hosted models for domain-specific tasks using efficient techniques (LoRA/QLoRA, PEF...
• Design & deliver GenAI solutions: Architect and implement LLM/LVM applications (text and, where applicable, vision) with strong emphasis on Microsoft Azure AI Foundry capabilities and LangGraph-based agentic workflows. This includes advanced prompt strategies, guardrails, evaluation metrics, cost/latency optimization, and production rollout.
• Build robust RAG systems: Stand up end-to-end RAG pipelines (ingestion → chunking → embedding → retrieval → synthesis) leveraging Foundry orchestration and LangGraph agents, with observability, feedback loops, and AB testing for groundedness and hallucination control.
• Develop agentic workflows: Implement multi-step, tool-using agents using LangGraph for real-time, context-aware operations; orchestrate planning, memory, and tool calling with safe execution policies.
• Fine-tune foundation models: Select, adapt, and fine-tune open and hosted models for domain-specific tasks using efficient techniques (LoRA/QLoRA, PEF...
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