RAG + Agentic AI Engineer (India) (Remote) | codvo

team | Remote Pune

RemoteRemote OKFull-time$140k – $220k / year

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RAG + Agentic AI Engineer (India) (Remote) | codvo-team | Remote Pune OverviewRequirementsCompany codvo-team~2mo ago 23 Lowest Trust Level RAG + Agentic AI Engineer (India) (Remote) India·PuneRemotemid OtherAgentic Ai Engineer 7 views0 saves0 applied Apply Now Save Quick Summary Overview Job Description — RAG + Agentic AI Engineer Key Responsibilities - Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting. - Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors. Technical Tools dockerelasticsearchfastapipythonci-cdcustomer-supportetlmicroservices Copy for ChatGPT At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. About the Role ~1 min read Copy link We are looking for a highly skilled RAG + LLM-based Agentic AI Engineer to build production-grade retrieval systems, multi-agent workflows, and enterprise-ready AI applications. You will work across document pipelines, model orchestration, tool-driven agents, and governed AI systems that power Codvo’s next-generation products . Responsibilities ~1 min read Copy link - Build end-to-end RAG pipelines: smart chunking, hybrid retrieval, reranking, query rewriting. - Implement LangGraph-based agentic workflows with tools, planning, and self-healing behaviors. - Develop and optimize vector search systems (Qdrant/Weaviate/OpenSearch). - Design multi-tenant, ontology-driven knowledge layers for enterprise data. - Implement guardrails, hallucination reduction, and automated evals. - Build and maintain document ingestion pipelines (PDF, DOCX, OCR, images). - Architect and deploy FastAPI-based AI microservices with caching and asyn

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