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Rag + Agentic Ai Lead

· 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
  • Lead and mentor a team of AI/ML engineers, providing technical guidance, architectural direction, and code reviews

Requirements

  • 7+ Years
  • RAG Engineering
  • Agentic AI
  • Vector & Search
  • LLM Ops
  • Backend & Infra
  • Data Engineering
  • Security & Governance

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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