Description

You will design and implement AI solutions focused on advanced retrieval and language model integration.

Responsibilities

• Design and implement Retrieval Augmented Generation (RAG) pipelines using hybrid search, vector, keyword, and semantic ranking.
• Apply chunking strategies (fixed size, recursive, semantic) to optimize document segmentation for retrieval and embedding.
• Fine-tune and evaluate Large Language Models (LLMs) like GPT, LLaMA, and Ollama for QA, summarization, NER, and sentiment analysis.
• Build and integrate multi-agentic systems into enterprise applications using Azure OpenAI, Cognitive Search, Azure Functions, and Power Automate.
• Ensure model reliability, performance, and ethical compliance across all deployments.

Required Skills

• 8 to 12 years of experience as a Fullstack Developer, with 2 to 4 years specifically in generative AI or RAG systems.
• Expert proficiency in Python and React.
• Expertise in Azure AI Studio and Azure Cognitive Services.
• Strong knowledge of VectorDBs (e.g., Pinecone, FAISS), chunking techniques, and embedding strategies.
• Experience with MLOps tools, specifically MLflow, Docker, and CI/CD pipelines.
• Expertise in prompt engineering and model evaluation.
• Mandatory familiarity with Agentic Systems and MultiAgent Orchestration.
• Good knowledge of ADO/Azure DevOps.

Key Skills

Education

Any Gradute