Core AI infrastructure role designing the intelligence layer that turns user ideas into executable prototypes. Build prompt pipelines with 90%+ success rate, develop semantic search across research/code/datasets (85% precision), implement AI validation for security and intent alignment. Evaluate and fine-tune LLMs (GPT-4, Claude, Gemini, open-source). Optimize to 1.5s latency, build monitoring dashboards, and experiment with RAG, function calling, and agentic workflows.
Responsibilities
- Build prompt pipelines with 90%+ success rate.
- Develop semantic search across research/code/datasets (85% precision).
- Implement AI validation for security and intent alignment.
- Evaluate and fine-tune LLMs (GPT-4, Claude, Gemini, open-source).
- Optimize to 1.5s latency, build monitoring dashboards, and experiment with RAG, function calling, and agentic workflows.
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📌 AI / LLM Systems Engineer - Innovation Intelligence (Noida)
🏢 Open Idea
📍 Noida
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