01Overview
Role OverviewBuild real-world GenAI systems, not just demos. Work across LLMs, RAG, Graphs, and Agents. Opportunity to shape architecture and offerings from the ground up.ResponsibilitiesBuild and deploy production-ready GenAI and Agentic AI systems using LLMs, RAG, and AI workflows.Develop scalable Python backends, APIs, and data pipelines for AI applications.Design RAG and hybrid search systems across vector databases, knowledge graphs, and unstructured data.Build agentic workflows using frameworks such as LangGraph, AutoGen, or CrewAI.Evaluate and optimize AI systems through prompt engineering, RAG evaluation, and model optimization.Translate business requirements into scalable, reliable, and production-ready AI solutions.RequirementsBachelors degree in Computer Science, Engineering, or a related field.38 years of experience in backend engineering, AI, or data-driven systems.Strong Python and backend development experience.Hands-on experience with LLMs, RAG pipelines, and AI system design.Experience working with APIs, data pipelines, and unstructured data.SkillsPythonLLMsRAGLangGraphAutoGen .
