07 Aug
|
Cognizant
|
Pune
Building and optimizing LLM-powered applications (RAG, embeddings, hybrid retrieval, prompt safety).
Python, embeddings, vector stores, hybrid retrieval, evaluators, latency/cost tuning, prompt engineering, model evaluation.
Hands-on engineering: implementing pipelines, tuning models, integrating APIs.
Ensures prompt safety and evaluator checks.
Measures latency, cost, and basic evaluation metrics.
Works with APIs and cloud-native services for deployment.
Individual contributor or mid-level engineer.
Cloud : Azure ( Azure OpenAI Service , Azure Cognitive Search ,Azure AI , Azure Monitor and Application Insights, Azure API Management and Service Bus., AKS)
📌 Agentic Ai Using Azure Ai Pune
🏢 Cognizant
📍 Pune