RAG + Agentic AI Lead
About Us
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
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
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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.
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 async execution.
Integrate LLM systems with enterprise apps (SharePoint, CRM, databases, MCP tools).
Ensure security, PII safety, auditability, and governance requirements are met.
Collaborate with solution architects and domain SMEs to translate use cases into working AI systems.
Lead and mentor a team of AI/ML engineers, providing technical guidance, architectural direction, and code reviews.
Core Skills & Competencies
RAG Engineering:
Smart/component-aware chunking
Hybrid retrieval (BM25 + dense)
Reranking
Graph-RAG basics
Query rewriting & multi-hop retrieval
Agentic AI:
LangGraph
MCP tools
Multi-agent orchestration
Tool-calling workflows
Vector & Search:
Qdrant or Weavia

📌 Rag + Agentic Ai Lead Pune
🏢 Codvo.ai
📍 Pune