Job Description — RAG + Agentic AI Engineer

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.

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 Weaviate
OpenSearch/Elasticsearch
HNSW tuning

LLM Ops:
Prompt engineering
Halluci

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