Description

You will architect and deploy intelligent systems powered by Large Language Models (LLMs) and Retrieval Augmented Generation (RAG). This role is remote.

Responsibilities

• Design and implement RAG pipelines using hybrid search, vector, keyword, and semantic ranking.
• Apply chunking strategies (fixed size, recursive, semantic, agentic) to optimize document segmentation.
• Fine-tune and evaluate LLMs for QA, summarization, NER, and sentiment analysis.
• Build multi-agentic systems and integrate AI capabilities into enterprise applications.
• Ensure model reliability, performance, and ethical compliance across all deployments.

Required Skills

• 8 to 12 years of experience as a Fullstack developer.
• 2 to 4 years of specific experience in generative AI or RAG systems.
• Expert proficiency in Python and React.
• Proficiency in Azure AI Studio and Azure Cognitive Services.
• Experience with Vector Databases (e.g., Pinecone, FAISS) and embedding strategies.
• Familiarity with MLOps tools, specifically MLflow, Docker, and CI/CD pipelines.
• Expert knowledge of AI Solutions and Azure Cognitive Solutions.
• Expertise in prompt engineering and model evaluation.
• Good knowledge of ADO/Azure DevOps.

Key Skills

Education

Any Graduate