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Rag + Agentic Ai Engineer

India, Pune · Job Posted June 03, 2026
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Job Description

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.

Job Responsibility

  • 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

Requirements

  • Smart/component-aware chunking
  • Hybrid retrieval (BM25 + dense)
  • Reranking
  • Graph-RAG basics
  • Query rewriting & multi-hop retrieval
  • LangGraph
  • MCP tools
  • Multi-agent orchestration
  • Tool-calling workflows
  • Qdrant or Weaviate
  • OpenSearch/Elasticsearch
  • HNSW tuning
  • Prompt engineering
  • Hallucination control
  • RAG/agent eval frameworks
  • Synthetic data generation
  • Python
  • FastAPI
  • Async programming
  • Docker
  • CI/CD
  • Cloud basics
  • Document parsing
  • ETL pipelines
  • Caching
  • batching
  • streaming
  • PII handling
  • Access control
  • Audit trails
  • Experience: 5+ Years

Nice to have

  • Experience with Haystack
  • LlamaIndex
  • or RAG frameworks
  • Fine-tuning retrievers or small LLMs
  • Ontology modeling
  • Enterprise search deployments
  • Agents in customer support
  • ops
  • legal
  • engineering

What we offer

  • Work on cutting-edge agentic AI systems at production scale
  • Ownership over enterprise-grade architectures
  • Fast growth environment
  • Influence Codvo's platform and accelerators

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