Description

• Design and implement RAG pipelines using hybrid search vector keyword semantic ranking and metadata enrichment
• Apply chunking strategies fixed size recursive semantic agentic to optimize document segmentation for retrieval and embedding
• Collaborate with stakeholders to translate business needs into scalable AI solutions
• Ensure model reliability performance and ethical compliance across deployments

Skills

• 5 to 7 years of experience as Fullstack developer with at least 2 to 4 years in generative AI or RAG systems
• Proficiency in Python
• Chunking techniques and embedding strategies
• MLOps tools MLflow Docker CICD pipelines
• Experience with prompt engineering model evaluation
• Mandatory Familiarity with Agentic Systems and MultiAgent Orchestration

Key Skills

Education

Bachelor's degree