About the Role
Project descriptionDevelopment of enterprise-grade Generative AI solutions built on LLMs. The project focuses on scalable architectures, RAG-based systems, and agent-driven workflows integrated with cloud and backend platforms.ResponsibilitiesDesign and evolve end-to-end GenAI architectures.Select and apply LLMs, prompting, and fine-tuning strategies.Build and maintain RAG pipelines and vector-based retrieval.Design agentic workflows and orchestration.Integrate GenAI components with backend and cloud infrastructure.Ensure observability, security, and production readiness.RequirementsHands-on experience with LLMs and GenAI system design.Understanding of RAG, vector databases, and agentic AI.Strong Python and backend integration experience.Cloud architecture and scaling knowledge.Proven architectural experience in complex systems.